Course 01 of 10

Python

Beginner to Advanced

The foundation of everything. Start with zero experience and build real Python skill class by class — from your first print statement to object-oriented programming and 15+ real-world projects.

• 01Python Introduction & Foundations
• 02Strings Formatting & Text Processing
• 03Python Operators & Expressions
• 04Lists — Indexing & Slicing
• 05Python Loops & Iteration Mastery
• 06Conditional Logic & If-Else
• 07Dictionaries & Key-Value Data
• 08Advanced Dictionaries & JSON
• 09Loops, Input & Control Flow
• 10Python Functions Introduction
• 11Errors & Exception Handling
• 12Python File Handling
• 13Object-Oriented Programming
• 14Real-World Python Projects

Course 02 of 10

Data Science

Job Ready

Turn raw data into answers. Learn the full data science toolkit — NumPy, Pandas, visualization, cleaning, EDA, feature engineering and statistics — the skills data jobs ask for.

• 01NumPy Fundamentals
• 02Pandas — Series & DataFrames
• 03Matplotlib — Visualization
• 04Seaborn — Statistical Plots
• 05Data Cleaning
• 06Exploratory Data Analysis (EDA)
• 07Feature Engineering
• 08Statistics for Data Science
• 09Data Pipeline Automation
• 10SQL Basics for Data Science

Course 03 of 10

Machine Learning

All Algorithms + Projects

Every core machine learning algorithm, taught with code and real projects — regression, classification, ensembles, clustering, time series, recommendations, pipelines and deployment.

• 01Setup & Environment
• 02ML Fundamentals
• 03Data Preprocessing
• 04Regression
• 05Classification
• 06Ensemble Methods
• 07Clustering
• 08Dimensionality Reduction
• 09Model Evaluation
• 10Hyperparameter Tuning
• 11Feature Selection
• 12Time Series
• 13Recommendation Systems
• 14NLP Basics
• 15ML Pipelines
• 16MLflow & Experiment Tracking
• 17Model Deployment

Course 04 of 10

Deep Learning

Neural Networks, CNN, RNN, Transformers

Build and train neural networks from first principles to modern architectures — CNNs for vision, RNNs and LSTMs for sequences, and the Transformers behind today's AI.

• 00Setup & Environment
• 01Deep Learning Fundamentals
• 02Neural Networks Basics
• 03Activation Functions
• 04Loss Functions & Optimizers
• 05Backpropagation
• 06Regularization
• 07CNNs
• 08RNNs
• 09LSTM & GRU
• 10Transformers
• 11Transfer Learning
• 12Autoencoders
• 13GANs
• 14Computer Vision
• 15NLP with Deep Learning
• 16Model Deployment
• 17Deep Learning Projects

Course 05 of 10

Generative AI

LLMs, RAG, LangChain

The complete modern GenAI stack — how LLMs work, prompt engineering, embeddings, vector databases, RAG, LangChain, fine-tuning, multimodal models, agents and production GenAI with MCP.

• 00Setup & Environment
• 01GenAI Fundamentals
• 02LLM Fundamentals
• 03LLM APIs & Providers
• 04Prompt Engineering
• 05Structured Outputs
• 06Embeddings & Semantic Search
• 07Vector Databases
• 08RAG Fundamentals
• 09Advanced RAG
• 10LangChain
• 11Tool Calling & External APIs
• 12LLM Evaluation & Guardrails
• 13Fine-Tuning & Open Models
• 14Multimodal GenAI
• 15AI Agents Fundamentals
• 16Agentic AI & Workflows
• 17Agent Memory & State
• 18Multi-Agent Systems
• 19Production GenAI
• 20Advanced Protocols & Integration (MCP)

Course 06 of 10

AI Agents & Automation

Build Agents That Do Work

Agents that do real work, not just chat. Architecture, tool calling, memory, planning, frameworks, browser use, evaluation, security with human approval — and production deployment.

• 00Setup & Environment
• 01What Are AI Agents
• 02Agent Architecture
• 03Tool Calling & Function Calling
• 04Agent Memory & State
• 05Reasoning & Planning
• 06Agent Frameworks
• 07APIs & External Integrations
• 08Workflow Automation & Triggers
• 09Browser & Computer Use
• 10Agent Evaluation & Testing
• 11Security & Human Approval
• 12Production AI Agents
• 99Projects

Course 07 of 10

Agentic AI Engineering

Multi-Agent Systems, Orchestration

Engineering-grade agentic systems: state graphs, orchestration, multi-agent communication, context engineering, human-in-the-loop, safety, observability and scaling to production.

• 00Setup & Environment
• 01Agentic AI Fundamentals
• 02Workflow Patterns & State Graphs
• 03Advanced Planning
• 04Agent Orchestration
• 05Multi-Agent Systems
• 06Agent Communication & Protocols
• 07Context Engineering & Memory
• 08Human-in-the-Loop & Approval
• 09Agentic RAG & Knowledge Workflows
• 10Safety, Security & Guardrails
• 11Evaluation & Observability
• 12Reliability & Failure Recovery
• 13Scaling & Production Deployment
• 99Projects

Course 08 of 10

Data Structures & Algorithms

LeetCode + Interview Prep

The interview course. Master every core data structure and algorithm pattern in Python, then prove it with 180+ LeetCode solutions and a dedicated interview-prep track.

• 00Setup & Environment
• 01Complexity Analysis
• 02Arrays & Strings
• 03Linked Lists
• 04Stacks & Queues
• 05Hash Tables
• 06Recursion
• 07Sorting Algorithms
• 08Searching Algorithms
• 09Trees
• 10Binary Search Trees
• 11Heaps & Priority Queues
• 12Graphs
• 13Dynamic Programming
• 14Greedy Algorithms
• 15Backtracking
• 16Tries
• 17Bit Manipulation

Company questions from Google, Amazon and Microsoft, the common patterns behind them (two pointers, sliding window and more), and printable cheat sheets.

Course 09 of 10

Cloud, DevOps & System Design

Production AI Engineering

Ship AI like a professional. Docker, Kubernetes, CI/CD, AWS, Terraform and system design — plus the full MLOps track: serving, monitoring, pipelines, security and cost.

• 00Setup & Environment
• 01DevOps Fundamentals
• 02Linux & Shell Scripting
• 03Docker Deep Dive
• 04Docker Compose
• 05GitHub Actions CI/CD
• 06Kubernetes Basics
• 07Kubernetes Advanced
• 08Terraform & IaC
• 09AWS Fundamentals
• 10AWS for AI
• 11Cloud Architecture Patterns
• 12System Design Fundamentals
• 13Scalable System Design
• 14Distributed Systems
• 15Microservices Architecture
• 16API Design & Gateways
• 17MLOps Fundamentals
• 18Model Serving APIs
• 19Model Monitoring & Logging
• 20Experiment Tracking MLflow
• 21Model Versioning & Registry
• 22AI Pipelines Automation
• 23AI Security & Guardrails
• 24Cost Optimization
• 25Production AI Systems

Course 10 of 10

SQL & Database Mastery

From Beginner to AI Engineer Level

Databases power every AI product. Go from your first SELECT to window functions, indexing, database architecture, SQL with Python — and SQL for AI engineering with pgvector and RAG.

• 00Setup & Datasets
• 01SQL Introduction
• 02Database Fundamentals
• 03SELECT & Filtering
• 04Aggregations & GROUP BY
• 05JOINs
• 06Subqueries & CTEs
• 07Advanced SQL
• 08Transactions & Concurrency
• 09Indexes & Performance
• 10Database Design
• 11Advanced Database
• 12Database Architecture
• 13SQL + Python
• 14SQL for AI Engineering