Full stack generative and Agentic AI with python — 90% Off Coupon
Hands-on guide to modern AI: Tokenization, Agents, RAG, Vector DBs, and deploying scalable AI apps. Complete AI course
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Course Title: Full stack generative and Agentic AI with python
Provider: Udemy (Listed via CoursesWyn)
Instructor: Hitesh Choudhary, Piyush Garg
Coupon Verified On: April 11, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: Generative AI (GenAI)
Duration: 32h of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: Write Python programs from scratch, using Git for version control and Docker for deployment. · Use Pydantic to handle structured data and validation in Python applications. · Understand how Large Language Models (LLMs) work: tokenization, embeddings, attention, and transformers.
Prerequisites: No prior AI knowledge is required — we start from the basics. · A computer (Windows, macOS, or Linux) with internet access. · Basic programming knowledge is helpful but not mandatory (the course covers Python from scratch).
Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
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What You'll Learn
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
No prior AI knowledge is required — we start from the basics.
A computer (Windows, macOS, or Linux) with internet access.
Basic programming knowledge is helpful but not mandatory (the course covers Python from scratch).
About This Course
Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.
- Python programming from scratch — syntax, data types, OOP, and advanced features.
- Git & GitHub essentials — branching, merging, collaboration, and professional workflows.
- Docker — containerization, images, volumes, and deploying applications like a pro.
- Pydantic — type-safe, structured data handling for modern Python apps.
- What are LLMs and how GPT works under the hood.
- Tokenization, embeddings, attention, and transformers explained simply.
- Understanding multi-head attention, positional encodings, and the "Attention is All You Need" paper.
- Master prompting strategies: zero-shot, one-shot, few-shot, chain-of-thought, persona-based prompts.
- Using Alpaca, ChatML, and LLaMA-2 formats.
- Designing prompts for structured outputs with Pydantic.
- Setting up OpenAI & Gemini APIs with Python.
- Running models locally with Ollama + Docker.
- Using Hugging Face models and INSTRUCT-tuned models.
- Connecting LLMs to FastAPI endpoints.
- Build your first AI Agent from scratch.
- CLI-based coding agents with Claude.
- The complete RAG pipeline — indexing, retrieval, and answering.
- LangChain: document loaders, splitters, retrievers, and vector stores.
- Advanced RAG with Redis/Valkey Queues for async processing.
- Scaling RAG with workers and FastAPI.
- Introduction to LangGraph — state, nodes, edges, and graph-based AI.
- Adding checkpointing with MongoDB.
- Memory systems: short-term, long-term, episodic, semantic memory.
- Implementing memory layers with Mem0 and Vector DB.
- Graph memory with Neo4j and Cypher queries.
- Build voice-based conversational agents.
- Integrate speech-to-text (STT) and text-to-speech (TTS).
- Code your own AI voice assistant for coding (Cursor IDE clone).
- Multi-modal LLMs: process images and text together.
- What is MCP and why it matters for AI apps.
- MCP transports: STDIO and SSE.
- Coding an MCP server with Python.
- Tokenizer from scratch.
- Local Ollama + FastAPI AI app.
- Python CLI-based coding assistant.
- Document RAG pipeline with LangChain & Vector DB.
- Queue-based scalable RAG system with Redis & FastAPI.
- AI conversational voice agent (STT + GPT + TTS).
- Graph memory agent with Neo4j.
- MCP-powered AI server.
- Beginners who want a complete start-to-finish course on Python + AI.
- Developers who want to build real-world AI apps using LLMs, RAG, and LangChain.
- Data Engineers/Backend Developers looking to integrate AI into existing stacks.
- Students & Professionals aiming to upskill in modern AI engineering.
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
Hitesh Choudhary, Piyush Garg
Verified Architect
A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
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| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, Full stack generative and Agentic AI with python stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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