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Build Intelligent Apps with Generative AI

The only Generative AI program that takes you from Python zero to deploying LLM-powered apps. Master LangChain, RAG, Hugging Face & Streamlit with real projects and expert mentorship.

4.7
New Batch
₹30,000 /month
Save 25% ₹40,000

Batch starting
27 Mar 2026
Batch size
30
54 Hours -6 Modules
1:1 Mentorship
Real-World Case Studies
Industry-Aligned curriculum

Mode

Online/Offline

Duration

4 months

Schedule

Weekdays 7-9 AM

Master Generative AI with Industry-Focused Training

This Generative AI curriculum is designed to provide structured, hands-on learning covering Python essentials, Machine Learning foundations, Deep Learning with PyTorch, NLP fundamentals, Transformers, LangChain, RAG systems, and deployment strategies. The course emphasizes practical implementation and real-world project development.

Why Learn Generative AI?

Generative AI is transforming industries by enabling intelligent content generation, conversational systems, and context-aware AI applications. This course provides foundational to advanced knowledge required to build production-ready AI systems.

By enrolling in this course, you will learn to:

  • Work with Python fundamentals including variables, control structures, functions, and modules
  • Build machine learning models using Scikit-learn
  • Understand neural networks and deep learning using PyTorch
  • Apply NLP techniques including text preprocessing and vectorization
  • Use Transformers like BERT and GPT-2
  • Implement LangChain for building conversational systems
  • Build Retrieval-Augmented Generation (RAG) applications
  • Deploy and optimize LLM applications

Who Should Enroll?

  • Students and graduates interested in AI careers
  • Developers wanting to transition into Generative AI
  • Professionals looking to build LLM-based applications

What Makes This Course Practical?

  • Hands-on implementation in every module
  • Model building and evaluation
  • Capstone project using Streamlit, LangChain, and RAG
  • Deployment using Streamlit Cloud and Hugging Face Spaces

Curriculum Highlights

What you will learn in the course

Generative AI Basics

Generative AI Basics

Advanced Generative AI

Advanced Generative AI

SQL Basics

SQL Basics

Advanced SQL

Advanced SQL

Course Curriculum

The only Generative AI program that takes you from Python zero to deploying LLM-powered apps. Master LangChain, RAG, Hugging Face & Streamlit with real projects and expert mentorship.

01
NLP Fundamentals
  • Text: cleaning, stemming, lemmatization
  • Vectorization using Bag of Words, TF-IDF, Word2Vec
  • Sequence models: RNN, LSTM concepts
  • NER, sentiment analysis hands-on
  • Limitations of traditional NLP techniques
02
Transformers & Hugging Face
  • Transformer architecture (self-attention, encoder-decoder)
  • BERT, GPT-2 overview and use cases
  • Using Hugging Face's transformers pipeline
  • Downloading and using pre-trained models
  • Hands-on: sentiment classifier, text summarizer
03
LangChain Essentials
  • LangChain architecture: Chains, Agents, Memory
  • Building LLM chains using prompts and tools
  • Creating a conversational bot with LangChain
  • Integration with OpenAI API
  • LangChain toolkits: calculator, Python REPL
04
RAG with Hugging Face & LangChain
  • Understanding RAG and how it enhances LLMs
  • Vector databases: FAISS, Pinecone basics
  • Document loading and chunking for retrieval
  • Creating context-aware Q&A systems
  • Build a private chatbot using LangChain + RAG
05
Deployment & Optimization
  • Prompt engineering patterns and anti-patterns
  • Using Streamlit Cloud and Hugging Face Spaces for deployment
  • Monitoring LLM behavior and optimization techniques
  • Caching, truncation, rate limits and usage metrics
  • Addressing hallucinations, bias, and safety in LLMs
06
Capstone Project
  • Plan and design a complete GenAI solution
  • Possible projects: Resume screener, PDF-based chatbot, AI tutor
  • Incorporate Streamlit + LangChain + RAG
  • Model evaluation and improvement
  • Presentation and deployment
4.9 / 5 student rating
Certificate of completion
1-on-1 mentorship
Industry-grade live projects
30 LPA highest package
35,400+ students trained

What our Students Say

Real people. Real results.

  • I recently completed the Generative AI course, and it was a great learning experience. The concepts were explained clearly with practical examples, which made it easy to understand how modern AI tools work. It really helped me gain confidence in using AI for real-world tasks. Highly recommended for anyone interested in AI!

    Ankit singh

    Student

  • "I recently completed the Build Intelligent Apps with Generative AI course, and it was an excellent learning experience. The curriculum covered both AI fundamentals and modern tools like LLM integration and Prompt Engineering with practical projects. It really helped me improve my skills in building smart, automated applications and understanding how AI models interact with users. Highly recommended for anyone looking to build a future-ready career in software and AI."

    Aryan Negi

    Student

  • "Joining this Generative AI program was the best decision for my technical growth as a developer. The course content is very deep, covering everything from basic API integration to building complex RAG (Retrieval-Augmented Generation) systems. What I liked most was the hands-on approach to real-world app development, which made complex AI concepts very easy to grasp. If you want to master building truly intelligent software, this is the perfect course for you."

    Rahul Bisht

    Student

Frequently Asked Questions

You will learn how to build intelligent applications using Generative AI, including prompts, APIs, and AI-powered features.
Basic knowledge of programming (like Python or JavaScript) is helpful but not strictly required.
The course introduces popular Generative AI tools, APIs, and frameworks used for building AI-powered apps.
Yes, the course includes practical exercises and small projects to help you build real AI applications.
This course is ideal for developers, students, and tech enthusiasts interested in creating AI-driven applications.
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