Description

Welcome to Generative AI with Python — a complete, hands-on program that takes you from Python foundations all the way to production-ready Generative AI applications.

The course is structured into 4 learning phases and 28 modules, covering 30+ tools and APIs, and finishes with a live, deployed capstone project. Here's what you'll get:

• Phase 1 — Foundations – Python programming, API calls and web scraping, data handling with NumPy & Pandas, data visualization with Matplotlib & Seaborn, and machine learning foundations from regression through model evaluation and deployment.
• Phase 2 — Generative AI & LLMs – how transformers and LLMs actually work, the OpenAI, Anthropic Claude and Google Gemini APIs, prompt engineering and advanced reasoning patterns, embeddings and semantic search, vector databases, RAG, LangChain, LlamaIndex, AI agents with tool use and MCP, agentic AI with LangGraph, multi-agent systems, fine-tuning with LoRA and PEFT, and production chatbots.
• Phase 3 — Multimodal Generative AI – image generation with Stable Diffusion, DALL·E and Midjourney including ControlNet and image LoRA; audio and video with ElevenLabs, Whisper, Runway and HeyGen; and vision-language models such as GPT-4o, Gemini and Claude for document, chart and image understanding.
• Phase 4 — Productionizing & Responsible AI – shipping apps with Streamlit, Gradio and FastAPI, containerizing and deploying with Docker and Hugging Face Spaces, monitoring and CI/CD, LLM evaluation and observability, and AI safety covering prompt injection, guardrails, PII handling and governance.
• Live Capstone & Portfolio – ship an end-to-end deployed GenAI application, a custom RAG knowledge assistant, an agentic AI project built with LangGraph, a fine-tuned domain model and a multimodal project — plus interview preparation and a certificate of completion.

Courses Curriculum

PART 01 — Foundations Python, data & machine learning groundwork

PART 02 — Generative AI & Large Language Models The core of modern GenAI — LLMs, prompting, RAG, agentic AI & fine-tuning

PART 03 — Multimodal Generative AI Generating and understanding images, audio, video & more

PART 04 — Productionizing & Responsible AI Ship real, safe, reliable GenAI applications

What you'll learn

Requirements

• Zeal to code and build.
• Basic programming logic in any language (Python is taught from scratch).
• A laptop with internet; free-tier API keys and Google Colab are enough to start.
• No prior machine learning or AI experience needed.

Who this course is for:

• Students and graduates who want a career in AI, not just an overview of it
• Python developers moving into Generative AI and LLM application work
• Data analysts and data science learners adding GenAI to their skill set
• Working software engineers who need to build RAG systems and AI agents
• Founders and technical product people prototyping AI features
• Anyone targeting AI engineer, LLM engineer or GenAI developer roles

Reviews

Pawandeep Singh

Best Institute for Data Science

I am a student of btech IT currently doing six month training at 9i technology i am doing python with data science staff and all the faculty member are very friendly and supportive they helped me gain all the industrial exposure.

Rahul Yadav

Exceptional!

I am a student of dav college, I am doing Python data science course from here, and the teaching here is very good. And teachers are very helpful.

Sukhman Saran

Perfect Institute!

I am student of B.Tech. IT currently on industrial training at 9i Technologies. I am doing course of Python with Data Science. This institute is best for learning new skills. Staff and all the faculty members are very friendly and supportive. They helped me gain all the industrial exposure.