Resources

Real projects built with the skills on these roadmaps.

• MedGuide: LLM Medical Assistant Chatbot (opens in a new tab)

  AI Eng

  GenAIRAG+1
• Flask AI Portal on Docker (opens in a new tab)

  AI EngDevOps

  FlaskMySQL+1
• Complaints Classification with Fine-Tuning (opens in a new tab)

  AI Eng

  GenAIFine-tuning
• Complaints Classification (opens in a new tab)

  AI Eng

  GenAI
• Nutritional Bot (opens in a new tab)

  AI Eng

  GenAIAgents
• Text to Image with Stable Diffusion (opens in a new tab)

  AI Eng

  GenAIDiffusion
• Bank Complaint Summarization (opens in a new tab)

  AI Eng

  NLP
• Computer Vision Project (opens in a new tab)

  AI Eng

  CV
• Alzheimer's Disease Detection (opens in a new tab)

  AI Eng

  DLCV
• Churn Prediction with a Neural Network (opens in a new tab)

  AI Eng

  DL
• Lung Cancer Prediction App (opens in a new tab)

  AI Eng

  MLDeployment
• Predictive Maintenance Cost Reduction (opens in a new tab)

  AI Eng

  ML
• Bank Churners (opens in a new tab)

  Data Sci

  Classification
• Customer Attrition at Beta Bank (opens in a new tab)

  Data Sci

  Classification
• Bank Loan Model (opens in a new tab)

  Data Sci

  Classification
• Mobile Users Classification (opens in a new tab)

  Data Sci

  Classification
• Stroke Prediction (opens in a new tab)

  Data Sci

  Classification
• Insurance Benefits Regression (opens in a new tab)

  Data Sci

  Regression
• Optimal Oil Well Location (opens in a new tab)

  Data Sci

  Regression
• Gold Recovery Prediction (opens in a new tab)

  Data Sci

  Regression
• Rusty Bargain Used Car Pricing (opens in a new tab)

  Data Sci

  Regression
• Sweet Lift Taxi Order Forecasting (opens in a new tab)

  Data Sci

  Time series
• RUL Jet Engine Prediction (opens in a new tab)

  Data Sci

  Regression
• Microsoft SaaS Clustering & Feature Selection (opens in a new tab)

  Data Sci

  Clustering
• Instacart Analysis (opens in a new tab)

  Analytics

  Python
• Megaline Analysis (opens in a new tab)

  Analytics

  Python
• Microsoft SaaS Products Analysis (opens in a new tab)

  Analytics

  Python
• Online Restaurant Data Analysis (opens in a new tab)

  Analytics

  Python
• San Francisco Housing Rental Analysis (opens in a new tab)

  Analytics

  Python
• Stroke Analysis (opens in a new tab)

  Analytics

  Python
• Taxi Company Analysis (opens in a new tab)

  Analytics

  Python
• Customer Usage Analysis (opens in a new tab)

  Analytics

  Python
• Video Game Console Sales Analysis (opens in a new tab)

  Analytics

  Python
• AdventureHubs (opens in a new tab)

  Analytics

  SQL
• World Wide Importers (opens in a new tab)

  Analytics

  SQL
• SQL + Python + Power BI ETL (opens in a new tab)

  Analytics

  SQLPython+1
• HR Dashboard (opens in a new tab)

  Analytics

  Power BI
• Power BI App Builder (opens in a new tab)

  Analytics

  Power BI
• Power BI Capstone (opens in a new tab)

  Analytics

  Power BI
• SQL + BI Project (opens in a new tab)

  Analytics

  SQLPower BI
• EaseMyTrip Airline Dashboard (opens in a new tab)

  Analytics

  Tableau
• HR Employee Attrition (opens in a new tab)

  Analytics

  Tableau
• Medical Settings Comparative Analysis (opens in a new tab)

  Analytics

  Tableau
• Disk Usage Reports into MySQL (opens in a new tab)

  DevOps

  PythonMySQL
• Log Archiving Automation (opens in a new tab)

  DevOps

  Python
• Docker Images to AWS ECR with GitHub Actions (opens in a new tab)

  DevOps

  DockerCI/CD+1
• GitLab CI/CD for an nginx Image (opens in a new tab)

  DevOps

  DockerCI/CD
• Multi-Stage Build: href-counter (opens in a new tab)

  DevOps

  Docker
• kubeadm Cluster on Vagrant (opens in a new tab)

  DevOps

  KubernetesVagrant
• Highly Available etcd Cluster (opens in a new tab)

  DevOps

  Kubernetesetcd
• EC2 Web Server with Terraform (opens in a new tab)

  DevOps

  TerraformAWS
• Automated Web Server with Vagrant (opens in a new tab)

  DevOps

  Vagrant
• Selenium Grid with Docker Compose (opens in a new tab)

  DevOps

  SeleniumDocker
• Jira Automation Scripts (opens in a new tab)

  DevOps

  PythonJira

Jupyter notebooks from the public GitHub courses.

• Python Basic Concepts (opens in a new tab)

  Python for Data Science AI EngData SciAnalyticsDevOps
• Strings and Container data types (opens in a new tab)

  Python for Data Science AI EngData SciAnalyticsDevOps
• Intro to NumPy and creating n-d arrays (opens in a new tab)

  NumPy AI EngData SciAnalytics
• N-d array attributes and properties (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Python lists vs NumPy arrays (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Indexing, Slicing and Iteration (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Reshaping NumPy arrays and fancy indexing (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Indexing with Boolean Arrays (filtering) (opens in a new tab)

  NumPy AI EngData SciAnalytics
• NumPy operations (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Plotting graphs using NumPy (opens in a new tab)

  NumPy AI EngData SciAnalytics
• NumPy Broadcasting (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Important NumPy functions (opens in a new tab)

  NumPy AI EngData SciAnalytics
• Pandas introduction (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Fetching rows and columns using iloc (filtering) (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Filtering dataframe on a condition: Masking using boolean series (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The value count function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The Plot function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Series Operations (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The sort_values() method (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The duplicated() and drop_duplicates() methods (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The groupby() function on company data (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The isin() function (and tolist()) (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The merge function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The detailed merge function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• A pivot table (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The corr function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The rename function (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The set_index() and reset_index() methods (opens in a new tab)

  Pandas AI EngData SciAnalytics
• The dropna() method and The fillna() method (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Working with CSV files (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Pandas Profiling (opens in a new tab)

  Pandas AI EngData SciAnalytics
• Line chart (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Filling Area on Line Plots (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Bar Charts and Analyzing Data from CSVs (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Pie Charts (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Stack Plots (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Histogram (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Scatter Plots (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Plotting Time Series Data (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Plotting Live Data in Real-Time (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Subplots (opens in a new tab)

  Matplotlib AI EngData SciAnalytics
• Scatter plots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Categorical Scatterplots: Stripplots and Swarmplots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Box plot (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Categorical distribution plots: violin plots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Categorical estimate plots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Categorical plots: heatmaps and cluster maps (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Side-by-side plots with FacetGrid and joint plots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Pair plots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Distplots (opens in a new tab)

  Seaborn AI EngData SciAnalytics
• Descriptive vs. Inferential Statistics (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Measurement of central tendency (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Measure of spread (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• PDF and CDF (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Theoretical understanding of PDF and CDF (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Normal Distribution (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Confidence Interval (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Hypothesis testing foundation (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Significance tests (t-tests) (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Chi square and Anova test (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Linear regression (opens in a new tab)

  Statistics for Data Science AI EngData SciAnalytics
• Machine learning theory (part 1) (opens in a new tab)

  Introduction to Machine Learning AI EngData Sci
• The ML life cycle (theory part 2) (opens in a new tab)

  Introduction to Machine Learning AI EngData Sci
• Tensors (opens in a new tab)

  Introduction to Machine Learning AI EngData Sci
• All algorithms of [regression and classification] problems (opens in a new tab)

  Supervised Learning AI EngData Sci
• Linear regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• Gradient descent: intro and batch GD on 2-D data (opens in a new tab)

  Supervised Learning AI EngData Sci
• Batch gradient descent on n-d data (opens in a new tab)

  Supervised Learning AI EngData Sci
• Stochastic Gradient Descent (opens in a new tab)

  Supervised Learning AI EngData Sci
• Mini-Batch Gradient Descent (opens in a new tab)

  Supervised Learning AI EngData Sci
• Logistic Regression (Perceptron Trick code+sigmoid function) (opens in a new tab)

  Supervised Learning AI EngData Sci
• Logistic Regression: Gradient Descent & Code From Scratch (opens in a new tab)

  Supervised Learning AI EngData Sci
• Softmax Regression: Multinomial Logistic Regression on iris data set (opens in a new tab)

  Supervised Learning AI EngData Sci
• Polynomial Features in Logistic Regression: Non Linear Logistic Regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• Logistic Regression Hyperparameters (opens in a new tab)

  Supervised Learning AI EngData Sci
• Support Vector Machines (opens in a new tab)

  Supervised Learning AI EngData Sci
• Kernel Trick in SVM (opens in a new tab)

  Supervised Learning AI EngData Sci
• Naive Bayes algorithm on a tennis toy dataset (opens in a new tab)

  Supervised Learning AI EngData Sci
• Introduction and Geometric Intuition (opens in a new tab)

  Supervised Learning AI EngData Sci
• Building a KNN Classifier from scratch (opens in a new tab)

  Supervised Learning AI EngData Sci
• KNN hyperparameters and weighted KNN (opens in a new tab)

  Supervised Learning AI EngData Sci
• KNN on a real-world dataset (opens in a new tab)

  Supervised Learning AI EngData Sci
• Decision Trees - Introduction and Geometric Intuition (opens in a new tab)

  Supervised Learning AI EngData Sci
• Entropy in Decision Trees (opens in a new tab)

  Supervised Learning AI EngData Sci
• Information Gain IN Decision Trees (opens in a new tab)

  Supervised Learning AI EngData Sci
• Gini Impurity in depth Intuition (opens in a new tab)

  Supervised Learning AI EngData Sci
• Handling Numerical values in Decision Trees (opens in a new tab)

  Supervised Learning AI EngData Sci
• Sklearn code(DecisionTreeClassifier) Visualizing a Decision Tree (opens in a new tab)

  Supervised Learning AI EngData Sci
• Underfitting Overfitting in Decision Trees (opens in a new tab)

  Supervised Learning AI EngData Sci
• Decision Tree Hyperparameters In-depth Intuition (opens in a new tab)

  Supervised Learning AI EngData Sci
• Hyper-parameter Tuning using GridSearchCV (opens in a new tab)

  Supervised Learning AI EngData Sci
• Handwriting Classifier using Decision Trees (opens in a new tab)

  Supervised Learning AI EngData Sci
• Awesome Decision Tree Visualization using dtreeviz library (opens in a new tab)

  Supervised Learning AI EngData Sci
• Regression Tree Hyperparameter Tuning and Code Example (opens in a new tab)

  Supervised Learning AI EngData Sci
• Ridge Regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• 5 key points about ridge regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• Gradient descent on ridge regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• Ridge gradient descent from scratch (opens in a new tab)

  Supervised Learning AI EngData Sci
• Lasso Regression Intuition and Code Sample (opens in a new tab)

  Supervised Learning AI EngData Sci
• Lasso regression important points (opens in a new tab)

  Supervised Learning AI EngData Sci
• ElasticNet Regression (opens in a new tab)

  Supervised Learning AI EngData Sci
• Introduction to Ensemble Learning: Ensemble Techniques in Machine Learning (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Introduction to Random Forest Intuition behind the Algorithm (opens in a new tab)

  Ensemble Methods AI EngData Sci
• How Random Forest Performs So Well Bias Variance Trade-Off in Random Forest (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Bagging Vs Random Forest (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Random Forest Hyper-parameters (opens in a new tab)

  Ensemble Methods AI EngData Sci
• GridSearchCV and RandomizedSearchCV With Code Example (opens in a new tab)

  Ensemble Methods AI EngData Sci
• OOB Score: Out of Bag Evaluation in Random Forest (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Feature Importance using Random Forest and Decision Trees: How is Feature Importance calculated (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Bagging: Introduction (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Bagging classifier (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Bagging Regressor (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Bagging Vs Boosting (opens in a new tab)

  Ensemble Methods AI EngData Sci
• AdaBoost Algorithm Code from Scratch (opens in a new tab)

  Ensemble Methods AI EngData Sci
• AdaBoost Hyperparameters: GridSearchCV in Adaboost (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Gradient boosting intuition (regression) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Gradient Boosting (regression case mathematics) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Gradient Boosting (classification case) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Gradient Boosting ( Classification case mathematics ) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• XGBoost (regression and classification) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Voting Ensemble(VOTING CLASSIFIER) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• Voting Ensemble(VOTING REGRESSOR) (opens in a new tab)

  Ensemble Methods AI EngData Sci
• PCA problem formulation and step-by-step solution (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• K-Means Clustering Algorithm From Scratch (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• K-Means Clustering Algorithm (Practical Example) (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• Agglomerative Hierarchical Clustering (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• DBSCAN (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• T-distributed stochastic neighbor embedding (t-SNE) (opens in a new tab)

  Unsupervised Learning AI EngData Sci
• Classification Metrics (opens in a new tab)

  Evaluation & Validation AI EngData Sci
• Regression Metrics (opens in a new tab)

  Evaluation & Validation AI EngData Sci
• Bias Variance Trade-off: Overfitting and Underfitting in Machine Learning (opens in a new tab)

  Evaluation & Validation AI EngData Sci
• Cross-validation in Machine Learning (opens in a new tab)

  Evaluation & Validation AI EngData Sci
• Feature Engineering overview (opens in a new tab)

  Feature Engineering AI EngData Sci
• Complete Case Analysis (opens in a new tab)

  Feature Engineering AI EngData Sci
• Handling missing Numerical Data (mean and median imputation) (opens in a new tab)

  Feature Engineering AI EngData Sci
• Arbitrary value End of distribution imputation (opens in a new tab)

  Feature Engineering AI EngData Sci
• Handling Missing Categorical Data (opens in a new tab)

  Feature Engineering AI EngData Sci
• Random Sample Imputation (opens in a new tab)

  Feature Engineering AI EngData Sci
• Missing Indicator (opens in a new tab)

  Feature Engineering AI EngData Sci
• Automatically select imputer parameters (opens in a new tab)

  Feature Engineering AI EngData Sci
• Multivariate Imputation (1. KNN Imputer) (opens in a new tab)

  Feature Engineering AI EngData Sci
• Multivariate Imputation (2. Iterative Imputer) (opens in a new tab)

  Feature Engineering AI EngData Sci
• Standardization (opens in a new tab)

  Feature Engineering AI EngData Sci
• Normalization (opens in a new tab)

  Feature Engineering AI EngData Sci
• Ordinal Encoding and Label Encoding (opens in a new tab)

  Feature Engineering AI EngData Sci
• One Hot Encoding (opens in a new tab)

  Feature Engineering AI EngData Sci
• Encoding numerical feature (opens in a new tab)

  Feature Engineering AI EngData Sci
• Function Transformer (opens in a new tab)

  Feature Engineering AI EngData Sci
• Power Transformer (opens in a new tab)

  Feature Engineering AI EngData Sci
• Column Transformer in Machine Learning (opens in a new tab)

  Feature Engineering AI EngData Sci
• Titanic without a pipeline (opens in a new tab)

  Feature Engineering AI EngData Sci
• Titanic with a pipeline (opens in a new tab)

  Feature Engineering AI EngData Sci
• Handling Date and Time Variables (opens in a new tab)

  Feature Engineering AI EngData Sci
• Working with outliers (opens in a new tab)

  Feature Engineering AI EngData Sci
• Outlier Detection and Removal using the IQR Method (opens in a new tab)

  Feature Engineering AI EngData Sci
• Outlier Detection and Removal using Z-score Method (opens in a new tab)

  Feature Engineering AI EngData Sci
• Outlier Detection using the Percentile Method: Winsorization Technique (opens in a new tab)

  Feature Engineering AI EngData Sci
• Feature Construction: Feature Splitting (opens in a new tab)

  Feature Engineering AI EngData Sci
• How does SelectKBest work in Feature Selection (opens in a new tab)

  Feature Engineering AI EngData Sci
• Chi-Squared For Feature Selection using SelectKBest (opens in a new tab)

  Feature Engineering AI EngData Sci
• Feature Selection using SelectKBest & Recursive Feature Elimination (SELF) (opens in a new tab)

  Feature Engineering AI EngData Sci
• Artificial neural network (opens in a new tab)

  Artificial Neural Networks (ANN) AI Eng
• Convolutional neural network (opens in a new tab)

  Convolutional Neural Networks (CNN) AI Eng
• Recurrent neural network with LSTM (opens in a new tab)

  RNN and LSTM AI Eng
• Self-organizing map (opens in a new tab)

  Unsupervised Deep Learning AI Eng
• Boltzmann Machine (opens in a new tab)

  Unsupervised Deep Learning AI Eng
• AutoEncoders (opens in a new tab)

  Unsupervised Deep Learning AI Eng
• Basic Text Preprocessing (opens in a new tab)

  Text Preprocessing AI Eng
• Text Representation Vectorization (opens in a new tab)

  Text Representation & Embeddings AI Eng
• Word Embeddings (word to vector) (opens in a new tab)

  Text Representation & Embeddings AI Eng
• Word2vec self trained embedding imdb (opens in a new tab)

  Text Representation & Embeddings AI Eng
• LangChain Components (opens in a new tab)

  LangChain Fundamentals AI Eng
• LangChain Models (opens in a new tab)

  LangChain Fundamentals AI Eng
• Calling APIs with Python requests (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Routes, Debug Mode, Host and Port (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Database Connectivity with Flask - Inserting Form Data (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Fetching Data from the Database in Flask (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Searching Data in Flask (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Session Management - Users Table and Login (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Session Management - Protecting Pages (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Session Management - Registration and Logout (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Connecting Python to Jira (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Reading and Filtering Comments (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Searching Issues with JQL in Python (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Creating Issues, Worklogs and Attachments (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Calling the Jira REST API with requests (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Project - Auto-Acknowledgement Emails for New Tickets (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Project - Low Memory Alerts as Jira Tickets (opens in a new tab)

  Jira & Python for AI Product Management DevOps

Lesson notes from the public GitHub courses.

• What Is Linux (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• The Shell and Bash (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Navigating the File System (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Working with Files and Directories (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Redirection, Pipes and Expansion (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Users, Groups and sudo (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Ownership and Basic Permissions (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Networking, Disks, Processes and Packages at a Glance (opens in a new tab)

  Linux Basics AI EngDevOpsSysOps
• Introduction to Flask (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• What is an API (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Flask Installation and Virtual Environments (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Database Connectivity with Flask - MySQL Setup (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Setting Up the Website with Templates and Static Files (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Setting Up the Website - Linking Pages, Forms and Reports (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Jira Integration with Flask (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Deploying Flask on Docker - Preparing the Application (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Deploying Flask on Docker - Dockerfile (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Deploying Flask and MySQL with Docker Compose (opens in a new tab)

  Flask for AI Product Development AI EngDevOps
• Installing Docker and Docker Compose on RHEL 9 (opens in a new tab)

  Docker & Containers AI EngDevOps
• Dockerfile and Docker Commands (opens in a new tab)

  Docker & Containers AI EngDevOps
• BusyBox and Alpine Image Concepts (opens in a new tab)

  Docker & Containers AI EngDevOps
• Understanding and Creating a Dockerfile (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Pull and Push Commands (opens in a new tab)

  Docker & Containers AI EngDevOps
• Creating a Docker Image from a Container (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Daemon, Port Mapping and Conflicts (opens in a new tab)

  Docker & Containers AI EngDevOps
• Deploying an Application in Docker (opens in a new tab)

  Docker & Containers AI EngDevOps
• Practical Phase 1 (Part 2) with Solutions (opens in a new tab)

  Docker & Containers AI EngDevOps
• Practical Phase 2 with Solutions (opens in a new tab)

  Docker & Containers AI EngDevOps
• Introduction to Docker Volumes (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Volume Types Hands-On (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Image Variants and Changing the Default Docker Path (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Multi-Stage Builds (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Compose Hands-On (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Data Containers (opens in a new tab)

  Docker & Containers AI EngDevOps
• Practical Phase 3 with Solutions (opens in a new tab)

  Docker & Containers AI EngDevOps
• Dockerfile Keywords - RUN, ENV, ARG, CMD and ENTRYPOINT (opens in a new tab)

  Docker & Containers AI EngDevOps
• Pushing and Pulling Docker Images with AWS ECR (opens in a new tab)

  Docker & Containers AI EngDevOps
• Deploying a Docker App to AWS ECS (opens in a new tab)

  Docker & Containers AI EngDevOps
• Pushing and Pulling Docker Images with GitHub and GitLab Registries (opens in a new tab)

  Docker & Containers AI EngDevOps
• Practical Phase 4 with Solutions (opens in a new tab)

  Docker & Containers AI EngDevOps
• GitLab Workflow Automation with CI-CD Pipelines (opens in a new tab)

  Docker & Containers AI EngDevOps
• Pushing Images from GitLab to AWS ECR with CI-CD (opens in a new tab)

  Docker & Containers AI EngDevOps
• Building Images from GitHub to AWS ECR with CI-CD (opens in a new tab)

  Docker & Containers AI EngDevOps
• Introduction to Docker Networking (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Networking Hands-On (opens in a new tab)

  Docker & Containers AI EngDevOps
• Linking Two Containers (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Swarm (opens in a new tab)

  Docker & Containers AI EngDevOps
• Local Docker Registry (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Monitoring (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Secrets, Docker Stack and JBoss Deployment (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker Aliases (opens in a new tab)

  Docker & Containers AI EngDevOps
• Archiving Images and Containers (opens in a new tab)

  Docker & Containers AI EngDevOps
• Docker and Containers (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Kubernetes Components and the Container Runtime Interface (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Pods (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• ReplicaSets and Deployments (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Imperative vs Declarative (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Taints, Tolerations and Node Affinity (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• DaemonSets and Static Pods (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Multiple Schedulers (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Authentication and Authorization (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Service Accounts, Network Policies and Cluster Networking (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• DNS in Kubernetes (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Sidecars, Microservices and Service Mesh (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Scaling and Autoscaling (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Serverless on Kubernetes (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Open Standards, Observability, SLOs and Cost Management (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Lab Setup with kubectl, kind and Minikube (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Working with Pods (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Multi-Container Pods - Sidecar and Ambassador (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Init Containers (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• ReplicationControllers and ReplicaSets (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Deployments (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Deployment Updates and Rollbacks (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Deployment Strategies - Blue-Green and Canary (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Namespaces, Contexts and Resource Quotas (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Jobs and CronJobs (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Imperative Commands and Dry Runs (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Commands and Arguments (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Environment Variables and ConfigMaps (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Secrets (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Security Contexts (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Service Accounts and RBAC (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Resource Requests and Limits (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Taints and Tolerations (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Node Selectors (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Node Affinity (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Labels, Selectors and Annotations (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Readiness and Liveness Probes (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Container Logging (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Monitoring and Debugging (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Services - ClusterIP and NodePort (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Ingress Networking (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Network Policies (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Volumes - hostPath and emptyDir (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Persistent Volumes and Claims (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• Kubectl Command Cheat Sheet (opens in a new tab)

  Kubernetes (KCNA & CKAD) AI EngDevOps
• The Filesystem Hierarchy Standard (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Soft Links, Hard Links, cp and mv (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Reading ls -l and File Types (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• The vi Editor (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• File Permissions, chattr and ACLs (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Run Levels, systemd Targets and Root Password Recovery (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Disks and Partitions with fdisk (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• File Systems, Mounting and fstab (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Checking and Repairing File Systems (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Compression and Archiving (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Backups with rsync (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Searching with grep, find and locate (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Processes and Signals (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Monitoring Performance with top, iostat and sar (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Daemons and Services (opens in a new tab)

  RHEL Fundamentals DevOpsSysOps
• Configuring IP, Gateway and DNS (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• IP Classes, MAC Addresses and IP Aliasing (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Protocols, Ports and the OSI Model (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Network Troubleshooting Tools (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Installing Software with RPM (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• YUM, DNF and Local Repositories (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Installing from Source Code (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Swap Space (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• LVM - Logical Volume Manager (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Scheduling Jobs with cron, anacron and at (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• User and Group Management (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Special Permissions, sudo, PATH and umask (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• The Linux Kernel - Modules and Tuning (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Performance Troubleshooting and Interview Questions (opens in a new tab)

  RHEL Networking & Administration DevOpsSysOps
• Cloud Computing and AWS Basics (opens in a new tab)

  RHEL Services DevOpsSysOps
• Server Roles and NFS (opens in a new tab)

  RHEL Services DevOpsSysOps
• FTP with vsftpd (opens in a new tab)

  RHEL Services DevOpsSysOps
• Apache Web Server and Virtual Hosts (opens in a new tab)

  RHEL Services DevOpsSysOps
• TCP Wrappers, iptables and firewalld (opens in a new tab)

  RHEL Services DevOpsSysOps
• SELinux (opens in a new tab)

  RHEL Services DevOpsSysOps
• DNS with BIND (opens in a new tab)

  RHEL Services DevOpsSysOps
• Xinetd and SSH (opens in a new tab)

  RHEL Services DevOpsSysOps
• Samba File Sharing (opens in a new tab)

  RHEL Services DevOpsSysOps
• Introduction to Bash Scripting (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Echo and read Commands (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Writing Scripts and Debugging Mode (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Linux Editors and the tr, xargs and seq Commands (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Conditional Statements (Part 1) (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Conditional Statements (Part 2) (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Nested if Conditions (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Positional Parameters (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Introduction to Loops (opens in a new tab)

  Bash Scripting DevOpsSysOps
• For Loop (opens in a new tab)

  Bash Scripting DevOpsSysOps
• While Loop and IFS (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Until Loop (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Select Loop and case Statements (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Echo Flags, Here Documents and Comments (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Positional Parameters with shift (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Break and continue Statements (opens in a new tab)

  Bash Scripting DevOpsSysOps
• String Operations (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Arrays (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Functions (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Grep Filter (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Cut Filter (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Awk Commands (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Awk Scripting (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Sed Commands (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Find Command (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Scheduling Tasks with cron and Email Alerts (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Disk Monitoring and Reporting Scripts (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Remote Connectivity Checks and SSH Automation (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Bash Scripting Tasks with Solutions (opens in a new tab)

  Bash Scripting DevOpsSysOps
• Introduction to Python and Running Scripts (opens in a new tab)

  Python Scripting & Automation DevOps
• Variables and Data Types (opens in a new tab)

  Python Scripting & Automation DevOps
• Type Casting and Print Formatting (opens in a new tab)

  Python Scripting & Automation DevOps
• Escape Sequences and Comments (opens in a new tab)

  Python Scripting & Automation DevOps
• Conditional Statements (opens in a new tab)

  Python Scripting & Automation DevOps
• String Operations (opens in a new tab)

  Python Scripting & Automation DevOps
• Lists and Sets (opens in a new tab)

  Python Scripting & Automation DevOps
• Tuples (opens in a new tab)

  Python Scripting & Automation DevOps
• Dictionaries (opens in a new tab)

  Python Scripting & Automation DevOps
• Modules and pip (opens in a new tab)

  Python Scripting & Automation DevOps
• The os Module (opens in a new tab)

  Python Scripting & Automation DevOps
• Running Shell Commands and Walking Directories (opens in a new tab)

  Python Scripting & Automation DevOps
• Working with Paths using os.path (opens in a new tab)

  Python Scripting & Automation DevOps
• The platform Module (opens in a new tab)

  Python Scripting & Automation DevOps
• Command-Line Arguments with sys (opens in a new tab)

  Python Scripting & Automation DevOps
• For and while Loops (opens in a new tab)

  Python Scripting & Automation DevOps
• Break, continue and pass (opens in a new tab)

  Python Scripting & Automation DevOps
• Practice Set 1 with Solutions (opens in a new tab)

  Python Scripting & Automation DevOps
• List and Dictionary Comprehensions (opens in a new tab)

  Python Scripting & Automation DevOps
• Functions (opens in a new tab)

  Python Scripting & Automation DevOps
• Exception Handling (opens in a new tab)

  Python Scripting & Automation DevOps
• The datetime Module (opens in a new tab)

  Python Scripting & Automation DevOps
• Strftime, strptime and the time Module (opens in a new tab)

  Python Scripting & Automation DevOps
• Reading and Writing Text Files (opens in a new tab)

  Python Scripting & Automation DevOps
• Working with JSON (opens in a new tab)

  Python Scripting & Automation DevOps
• Working with CSV (opens in a new tab)

  Python Scripting & Automation DevOps
• Sending Emails with smtplib (opens in a new tab)

  Python Scripting & Automation DevOps
• Scheduling Tasks (opens in a new tab)

  Python Scripting & Automation DevOps
• Regular Expressions - findall and Character Classes (opens in a new tab)

  Python Scripting & Automation DevOps
• Regular Expressions - Quantifiers and Flags (opens in a new tab)

  Python Scripting & Automation DevOps
• Regular Expressions - finditer, search, match, split and sub (opens in a new tab)

  Python Scripting & Automation DevOps
• Remote Commands over SSH with Paramiko (opens in a new tab)

  Python Scripting & Automation DevOps
• File Transfers with Paramiko SFTP (opens in a new tab)

  Python Scripting & Automation DevOps
• MySQL Setup and SQL Basics (opens in a new tab)

  Python Scripting & Automation DevOps
• Python and MySQL with mysql-connector (opens in a new tab)

  Python Scripting & Automation DevOps
• Project - Disk Usage Reports into MySQL (opens in a new tab)

  Python Scripting & Automation DevOps
• Project - Log Archiving Automation (opens in a new tab)

  Python Scripting & Automation DevOps
• Introduction to Vagrant (opens in a new tab)

  Vagrant DevOps
• Installing Vagrant and VirtualBox (opens in a new tab)

  Vagrant DevOps
• Creating Your First VM with Vagrant (opens in a new tab)

  Vagrant DevOps
• Understanding Vagrant Boxes (opens in a new tab)

  Vagrant DevOps
• Using Boxes from Vagrant Cloud (opens in a new tab)

  Vagrant DevOps
• Networking in Vagrant (opens in a new tab)

  Vagrant DevOps
• Synced Folders in Vagrant (opens in a new tab)

  Vagrant DevOps
• Provisioning in Vagrant - Installing a Web Stack (opens in a new tab)

  Vagrant DevOps
• File Provisioning in Vagrant (opens in a new tab)

  Vagrant DevOps
• Shell Provisioning in Vagrant (opens in a new tab)

  Vagrant DevOps
• Project - Automated Web Server Setup (opens in a new tab)

  Vagrant DevOps
• Managing Multiple VMs with Vagrant (opens in a new tab)

  Vagrant DevOps
• Introduction to Ansible and Its Architecture (opens in a new tab)

  Ansible DevOps
• Installing Ansible (opens in a new tab)

  Ansible DevOps
• Setting Up the Master and Worker Nodes (opens in a new tab)

  Ansible DevOps
• Understanding the ansible.cfg File (opens in a new tab)

  Ansible DevOps
• Ad-Hoc Commands (opens in a new tab)

  Ansible DevOps
• Ansible Facts and Custom Facts (opens in a new tab)

  Ansible DevOps
• Ansible Variables (opens in a new tab)

  Ansible DevOps
• Understanding Ansible Playbooks (opens in a new tab)

  Ansible DevOps
• Printing Messages with Playbooks (opens in a new tab)

  Ansible DevOps
• Copy and Fetch Modules in Playbooks (opens in a new tab)

  Ansible DevOps
• Understanding Inventory (opens in a new tab)

  Ansible DevOps
• Running Bash Scripts on Remote Nodes (opens in a new tab)

  Ansible DevOps
• Checking Processes with Bash and Python Scripts (opens in a new tab)

  Ansible DevOps
• Collecting System Reports with Python, JSON and CSV (opens in a new tab)

  Ansible DevOps
• Collecting Remote Output with Playbooks (opens in a new tab)

  Ansible DevOps
• When Conditions (opens in a new tab)

  Ansible DevOps
• Installing Packages with when Conditions (opens in a new tab)

  Ansible DevOps
• Managing Services with when Conditions (opens in a new tab)

  Ansible DevOps
• Data Types in Ansible (opens in a new tab)

  Ansible DevOps
• Variables, Type Checking and set fact (opens in a new tab)

  Ansible DevOps
• Installing Packages from a List Variable (opens in a new tab)

  Ansible DevOps
• Taking User Input with vars prompt (opens in a new tab)

  Ansible DevOps
• Reading Variables from JSON and YAML Files (opens in a new tab)

  Ansible DevOps
• Passing Command-Line Arguments with extra-vars (opens in a new tab)

  Ansible DevOps
• Operators and Filters (opens in a new tab)

  Ansible DevOps
• Loops in Playbooks (opens in a new tab)

  Ansible DevOps
• Running Specific Tasks with Tags (opens in a new tab)

  Ansible DevOps
• Ansible Vault (opens in a new tab)

  Ansible DevOps
• Ansible Roles (opens in a new tab)

  Ansible DevOps
• Managing AWS EC2 Servers with Ansible (opens in a new tab)

  Ansible DevOps
• Connecting a Windows Machine with Ansible (opens in a new tab)

  Ansible DevOps
• Ansible Practical Tasks with Solutions (opens in a new tab)

  Ansible DevOps
• Introduction to Terraform and Infrastructure as Code (opens in a new tab)

  Terraform DevOps
• Installing Terraform (opens in a new tab)

  Terraform DevOps
• Providers and Terraform Init (opens in a new tab)

  Terraform DevOps
• Preparing AWS for Terraform (opens in a new tab)

  Terraform DevOps
• Creating an EC2 Instance with Terraform (opens in a new tab)

  Terraform DevOps
• Separating Credentials into providers.tf (opens in a new tab)

  Terraform DevOps
• Credentials with Environment Variables and the AWS CLI (opens in a new tab)

  Terraform DevOps
• Creating Multiple Instances with count (opens in a new tab)

  Terraform DevOps
• The Terraform State File (opens in a new tab)

  Terraform DevOps
• Input Variables in Depth (opens in a new tab)

  Terraform DevOps
• List and Map Variables (opens in a new tab)

  Terraform DevOps
• Functions and tfvars Files (opens in a new tab)

  Terraform DevOps
• Creating and Assigning a Key Pair (opens in a new tab)

  Terraform DevOps
• Validate, Format and Security Groups with Dynamic Blocks (opens in a new tab)

  Terraform DevOps
• Attaching Security Groups to an Instance (opens in a new tab)

  Terraform DevOps
• Bootstrapping an Instance with user data (opens in a new tab)

  Terraform DevOps
• The File Provisioner (opens in a new tab)

  Terraform DevOps
• What Is etcd (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Etcd in Kubernetes (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Exploring etcd on Minikube (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Building a Highly Available etcd Cluster (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Etcd Practice Tasks (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• CKS Overview and Exam Domains (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Network Policies and Protecting Node Metadata (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• CIS Benchmark with kube-bench (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Securing Ingress with TLS (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Minimizing GUI Access with the Kubernetes Dashboard (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Verifying Platform Binaries (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Restricting Access to the API Server (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• RBAC with User Certificates (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Service Account Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Upgrading Kubernetes Frequently (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Minimizing the Host OS Footprint (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Minimizing IAM Roles and External Network Access (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Kernel Hardening with AppArmor (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Kernel Hardening with seccomp (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Security Contexts for Least Privilege (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• OPA Gatekeeper Policies (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• The 4Cs of Cloud Native Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Cloud Provider and Infrastructure Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Security Controls and Frameworks (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Isolation Techniques (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Artifact Repository and Image Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Workload and Application Code Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Control Plane Component Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Node Component Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Networking, Storage and Client Security (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Pod Security Standards and Admission (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Authentication, Authorization and Secrets (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Audit Logging (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• The Kubernetes Threat Model (opens in a new tab)

  Kubernetes Administration & Security (CKA, CKS, KCSA) DevOps
• Introduction to Selenium (opens in a new tab)

  Test Automation with Selenium DevOps
• Selenium WebDriver Architecture (opens in a new tab)

  Test Automation with Selenium DevOps
• Installing Selenium and Browser Drivers (opens in a new tab)

  Test Automation with Selenium DevOps
• Working with Chrome, Firefox and Edge (opens in a new tab)

  Test Automation with Selenium DevOps
• Managing Drivers with webdriver-manager and Selenium Manager (opens in a new tab)

  Test Automation with Selenium DevOps
• HTML Basics and the Eight Locators (opens in a new tab)

  Test Automation with Selenium DevOps
• Finding Elements and Automating a Login (opens in a new tab)

  Test Automation with Selenium DevOps
• Link Text and Partial Link Text (opens in a new tab)

  Test Automation with Selenium DevOps
• Synchronization with sleep and Implicit Waits (opens in a new tab)

  Test Automation with Selenium DevOps
• Explicit Waits with WebDriverWait (opens in a new tab)

  Test Automation with Selenium DevOps
• Dropdowns with the Select Class (opens in a new tab)

  Test Automation with Selenium DevOps
• Working with Multiple Elements (opens in a new tab)

  Test Automation with Selenium DevOps
• Checking Whether Elements Exist and Are Visible (opens in a new tab)

  Test Automation with Selenium DevOps
• Checkboxes, Radio Buttons and Text Fields (opens in a new tab)

  Test Automation with Selenium DevOps
• CSS Selectors (opens in a new tab)

  Test Automation with Selenium DevOps
• XPath Basics (opens in a new tab)

  Test Automation with Selenium DevOps
• XPath Axes (opens in a new tab)

  Test Automation with Selenium DevOps
• Absolute and Partial XPaths (opens in a new tab)

  Test Automation with Selenium DevOps
• Mouse Actions with ActionChains (opens in a new tab)

  Test Automation with Selenium DevOps
• Handling JavaScript Alerts (opens in a new tab)

  Test Automation with Selenium DevOps
• Working with iframes (opens in a new tab)

  Test Automation with Selenium DevOps
• Handling Multiple Windows and Tabs (opens in a new tab)

  Test Automation with Selenium DevOps
• Browser Options and Headless Mode (opens in a new tab)

  Test Automation with Selenium DevOps
• Running JavaScript with execute script (opens in a new tab)

  Test Automation with Selenium DevOps
• Taking Screenshots (opens in a new tab)

  Test Automation with Selenium DevOps
• Pytest Basics (opens in a new tab)

  Test Automation with Selenium DevOps
• Pytest Setup, Teardown and Fixtures (opens in a new tab)

  Test Automation with Selenium DevOps
• Pytest Markers, Skipping, Parametrize and Assertions (opens in a new tab)

  Test Automation with Selenium DevOps
• Selenium with Pytest - Parallel Runs and Reports (opens in a new tab)

  Test Automation with Selenium DevOps
• Practical - Reading Web Tables (opens in a new tab)

  Test Automation with Selenium DevOps
• Practical - Collecting Data from Tabs into CSV and Email (opens in a new tab)

  Test Automation with Selenium DevOps
• Selenium Grid - Hub and Node (opens in a new tab)

  Test Automation with Selenium DevOps
• Selenium Grid with Docker and Docker Compose (opens in a new tab)

  Test Automation with Selenium DevOps
• Introduction to Jira and Issue Tracking (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Jira Installation and Cloud Setup (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Understanding the Dashboard, Agile, Scrum and Kanban (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Projects, Boards, Issues and Filters (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Advanced Search with JQL (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Jira Administration - Users and Sites (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Jira Administration - Projects, Issue Types and Workflows (opens in a new tab)

  Jira & Python for AI Product Management DevOps
• Jira REST API and API Tokens (opens in a new tab)

  Jira & Python for AI Product Management DevOps