Registration Open • Batch Starting October 2025

Master GenAI with Python

Build powerful AI applications using cutting-edge techniques. From LLMs to RAG systems, become industry-ready in just 6 weeks.

4.9/5.0 (250+ student ratings)

₹3,499 ₹6,999

20% scholarship available

Enroll Now

                      from langchain import ChatOpenAI, PromptTemplate

                      from langchain.chains import LLMChain

                      llm = ChatOpenAI(model_name="gpt-3.5-turbo")

                      prompt = PromptTemplate(input_variables=["query"], template="{query}")

                      chain = LLMChain(llm=llm, prompt=prompt)

Real-world Projects

Build Your Portfolio

Industry Expert Mentors

1-on-1 Support

Career Growth

92% Success Rate

Course Highlights

Everything you need to know about this comprehensive GenAI learning experience.

Course Schedule

Duration: 6 Weeks Intensive
Start Date: July 15, 2025
Class Duration: 1 hour per session and 2 hour Doubt session
Live Timings: Mon-Sat, 7PM-8PM IST

Prerequisites & Skills

Python Knowledge: Basic understanding of Python syntax and functions
API Experience(Not compulsory): Familiarity with REST APIs and making HTTP requests
Passion for AI: Curiosity and willingness to explore cutting-edge technology

Free Pre-course Learning Materials Provided

Projects & Support

Real-world Projects: 5+ hands-on projects including RAG systems, chatbots, and AI agents
Support Sessions: 2 dedicated doubt-clearing sessions per week
1-on-1 Mentorship: Personalized guidance from industry experts for lifetime

Job Placement Assistance Included

500+

Successful Graduates

40+

Hours of Live Training

Real-world Projects

93%

Career Growth Rate

What This Course Includes

Everything you need to master Generative AI development and advance your career

Live Interactive Classes

Attend real-time sessions with industry instructors and ask questions as you learn

Project-Based Learning

Build 5+ real-world projects for your professional portfolio

1-on-1 Expert Mentorship

Get personalized guidance from top industry professionals

Career Development

Resume reviews, interview prep, and job placement assistance

Community Access

Join our private network of students, alumni, and industry experts

Industry Connections

Network with professionals and gain insights from industry leaders

Technologies You'll Master

Python

OpenAI

LangChain

RAG

Vector DBs

Course Overview & Syllabus

Week 1: Foundations of GenAI & Prompting

What is GenAI & LLMs? (history, architecture at high-level, use-cases).
Tokenization & inference basics (why LLMs cost money, tokens = words).
Machine Learning basics
Prompt Engineering: zero-shot, few-shot, role/system prompting..
Prompting pitfalls (hallucination, bias).
Hands-on: Build a Python script → chatbot with basic prompts.

Week 2: Prompt Engineering Deep Dive + LangChain Intro

Prompt templates, chaining prompts.
Intro to LangChain (chains, memory, tools).
Setting up LangChain with OpenAI API.
Hands-on: summarizer, translator, persona chatbot.
Mini activity: create a prompt pack (students design their own useful prompts).

Week 3: LangChain Advanced

LangChain memory types (conversation buffer, summary).
Agents & Tools introduction.
Handling external APIs with LangChain.
Hands-on: build a calculator tool with LangChain agent.
Hands-on project: multi-turn chatbot with memory.

Week 4: Open Source & API-based LLMs

Working with OpenAI (ChatGPT), Anthropic Claude, Google Gemini APIs.
Intro to open-source LLMs (Mistral, GPT4All, Falcon).
Tradeoffs: API vs local inference.
Hands-on: swap between OpenAI and GPT4All in the same LangChain app.
Hands-on project: build a “Compare 2 LLMs” app (same prompt → different outputs).

Week 5: Embeddings, Vector DBs & RAG

What are embeddings? (semantic similarity, applications).
Vector DBs: FAISS, Chroma.
RAG: why LLMs need retrieval, how pipeline works.
Hands-on: Generate embeddings for docs, Stop/Retrive in FAISS/CHROMA
Hands-on project: Build a simple RAG Q&A bot.

Week 6: Agentic AI + Final Projects

Agentic AI basics: planning, tool use, multi-step reasoning.
LangChain agents hands-on (e.g., search + calculator).
Ethics, risks, hallucinations, guardrails.
Project 1: PDF Q&A bot (RAG)
Project 2: Resume analyzer using OpenAI API
Project 3: Customer support bot with open-source LLM
Project 4: AI trip planner agent using LangChain tools

Bonus Week 7: Ideation and Projects to Production

Projects Ideation with whole batch
Idea to MVP development.
Taking MVP to Production.
Mentorship for Jobs in GenAI

Why You Should Join

Master In-Demand Skills

Generative AI is revolutionizing industries. Gain the practical skills that top companies are looking for right now.

Build a Strong Portfolio

With over 5 hands-on projects, you'll graduate with a portfolio that showcases your ability to build real-world AI applications.

Learn from Experts

Our instructors are industry veterans who bring real-world experience and insights into the classroom.

Exclusive Bonuses

Enroll today and get these career-boosting bonuses for free.

Resume Review Session

Get your resume reviewed by an industry expert to make sure it stands out to recruiters.

Interview Prep Guide

A comprehensive guide with common GenAI interview questions and proven strategies to answer them.

Private Community Access

Join an exclusive network of peers and mentors to collaborate, share knowledge, and grow together.

Sample Blogs to Read

AI Concepts

Embeddings: The Language of AI

How machines understand text, images, and more through mathematical representations that enable modern AI systems.

AI & Jobs

Will AI Replace Your Job?

Explore the impact of artificial intelligence on the future of work, job automation, and how to stay relevant in the age of AI.

Ready to Master GenAI with Python?

Join our comprehensive course and transform your career with in-demand AI skills.

Enrollment Details

Next Batch Starts: October, 2025
Limited to 30 students per batch
Classes on Mon-Sat: 7-8 PM IST

Course Fee

₹3,499 ₹6,999

50% Early Bird Discount

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Frequently Asked Questions

Everything you need to know before joining our GenAI with Python course

Is this course suitable for beginners in programming?

This course requires a basic understanding of Python. If you are completely new to programming, we recommend taking our "Introduction to Programming" course first. However, we do provide pre-course materials to help you get up to speed.

What if I miss a live class?

No worries! All live classes are recorded and will be available on your dashboard within 24 hours, so you can catch up at your own pace. We also offer twice-weekly doubt-clearing sessions where you can ask questions about any material you missed.

Do I need to purchase any additional tools or software?

No, the course fee covers everything you need. We'll provide free credits for all necessary APIs like OpenAI and other services. All tools we use have free tiers that are sufficient for learning purposes. You only need a computer with an internet connection.

How much time should I dedicate to this course each week?

We recommend allocating 8-10 hours per week: 4 hours for live classes and 4-6 hours for assignments, projects, and practice. The course is designed for working professionals, so the schedule is flexible and accommodating.