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From Python to Agentic AI
The Complete AI Engineering Curriculum
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The Complete AI Engineering Curriculum
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Go from Python fundamentals to Agentic AI with one comprehensive, structured AI engineering curriculum. Learn computer science, Python, PostgreSQL, FastAPI, NLP, Transformers, LLMs, Generative AI, RAG, AI agents, and multi-agent systems through progressive lessons, practical exercises, assessments, and hands-on projects — all in one purchase.
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Learn Computer Fundamentals, Python, PostgreSQL, FastAPI, NLP, Transformers, Large Language Models (LLMs), Generative AI, and Agentic AI — all in one comprehensive AI engineering curriculum.
One purchase. One complete learning journey. Everything organized in one place.
WHAT YOU WILL LEARN
1. Computer Science & Programming Fundamentals
Build the technical foundation needed to understand how modern software and AI systems work.
Computer fundamentals and how computers work
Programming fundamentals and computational thinking
Core software development concepts
Data representation and structured information
Essential development concepts and terminology
2. Python Programming – From Beginner to Advanced Concepts
Learn Python as the primary programming language for AI engineering.
Python fundamentals and syntax
Variables, data types, and operators
Conditional statements and loops
Functions and modular programming
Data structures and collections
Object-oriented programming
Exception handling and debugging
File handling and working with data
Advanced Python concepts and practical programming
3. JSON, Data Handling & Databases
Understand how applications store, process, exchange, and retrieve information.
JSON fundamentals and data structures
Working with structured and unstructured data
SQL fundamentals
Relational database concepts
PostgreSQL database management
Tables, relationships, queries, and data operations
Connecting applications to databases
4. APIs, Backend Development & FastAPI
Learn how modern applications communicate and how to build backend services.
HTTP fundamentals and REST APIs
API requests and responses
Backend development concepts
FastAPI framework
API endpoints and routing
Data validation and structured responses
Application and database integration
Building AI-ready backend services
5. Artificial Intelligence & Machine Learning Foundations
Understand the concepts that form the foundation of modern intelligent systems.
Artificial intelligence fundamentals
Machine learning concepts
How AI systems learn from data
Natural Language Processing (NLP)
Text processing and language representation
Neural network fundamentals
Deep learning concepts
6. Natural Language Processing (NLP) & Transformers
Explore how machines process, understand, and generate human language.
NLP fundamentals and applications
Text preprocessing and tokenization
Word embeddings and language representations
Attention mechanisms
Transformer architecture
Encoder and decoder concepts
How modern language models process information
7. Large Language Models (LLMs)
Understand the technology powering today's most advanced AI applications.
Large Language Model fundamentals
How LLMs work
Model architecture and capabilities
Tokens, context windows, and embeddings
Prompt engineering
LLM APIs and integrations
Structured outputs and function calling
Building applications powered by LLMs
8. Generative AI Engineering
Move beyond using AI tools and understand how to engineer applications with generative models.
Generative AI fundamentals
Generative language models
AI-powered application development
Prompt design and optimization
Model integration and orchestration
Retrieval-Augmented Generation (RAG)
Connecting AI systems with external data
Developing practical generative AI solutions
9. AI Agents & Agentic AI
Explore the next evolution of AI: systems that can use tools, maintain context, and execute multi-step tasks.
AI agents and agent architectures
Agent reasoning and execution workflows
Tool calling and function execution
Agent memory and context management
Planning and task decomposition
Agent workflows and orchestration
Multi-agent systems
Agent collaboration and coordination
Building intelligent agentic applications