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Generative AI Training Program - Live
Master the skills to build and deploy advanced Gen AI solutions. This course takes you from Python & Deep Learning foundations to mastering Transformers and the Hugging Face ecosystem. You'll build with LangChain and RAG, and learn the LLM training lifecycle. Finally, advance to Agentic AI, using Crew AI to orchestrate powerful, autonomous multi-agent systems that solve complex problems.
For further queries, reach us via Call/WhatsApp at: +91-8130806418
Course Overview
Key Highlights
- Build a Solid AI Foundation with essential Python, and Deep Learning concepts.
- Master Modern Architectures from CNNs and RNNs to the game-changing Transformer model.
- Develop with Leading Frameworks through hands-on projects using Hugging Face and LangChain.
- Engineer Advanced AI Systems by implementing RAG pipelines, prompt engineering, and multimodal workflows.
- Customize LLMs for Your Needs by fine-tuning models with cutting-edge PEFT and LoRA techniques.
- Deploy AI as Real-World Apps using FastAPI, Docker, and interactive UI tools like Streamlit and Gradio.
- Architect Autonomous Solutions by building sophisticated multi-agent systems with Agentic AI frameworks.
- Implement Responsible AI by integrating guardrails, bias detection, and robust evaluation strategies.
- Launch a Portfolio-Ready Product in the final capstone project where you design, build, and deploy a complete AI solution.
What Sets Us Apart
24 X 7 Doubt Support
Recognised Certification
Placement Assistance
Major Projects Covered
Complimentary Course Access
AI Chat Support 24/7 – A dedicated service provided with this course for free to help you overcome any doubt, at any time, and anywhere.
Note: If you are not happy with the AI agent, then you will be connected with our course Teaching Assistant.
Teaching Assistant Support – Every class includes a dedicated doubt-clearing session where you can raise queries with the Teaching Assistant assigned to your batch.
Read moreWhat Sets Us Apart
AI Chat Support 24/7 – A dedicated service provided with this course for free to help you overcome any doubt,
Earn an industry-recognised GeeksforGeeks Certificate of Completion by fulfilling the course requirements.
Perks of our certif
Our Placement Assistance Program is designed to provide comprehensive support and guidance to help you get started and succeed in your coding career
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Simple Neural Network for Digit Classification
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1-year access to the online course materials and recorded videos
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Course Content
Class 1: Python Basics for Data Science - Build a strong programming foundation with Python essentials and Object-Oriented principles.
Class 2: Feedforward Neural Networks - Construct your first neural network, understanding neurons, layers, and activation functions.
Class 3: Backpropagation - Master the core algorithm that enables neural networks to learn and improve from data.
Project: Simple Neural Network for Digit Classification.
Class 4: CNN (Convolutional Neural Networks) - Explore the architecture of CNNs, the go-to model for image recognition and computer vision tasks.
Class 5: RNN (Recurrent Neural Networks) - Learn to process sequential data like text and time-series with Recurrent Neural Networks.
Class 6: Transformers Conceptuals - Dive into the revolutionary Transformer architecture and the self-attention mechanism powering modern AI.
Project: Digit Classifier + IMDB Sentiment Classification.
Class 7: Hugging Face Basics - Get hands-on with the Hugging Face ecosystem to leverage thousands of pre-trained models.
Class 8: Gen AI Glossary with LangChain - Decode the essential terminology and key concepts at the heart of Generative AI. Orchestrate complex, multi-step LLM workflows and build powerful, chain-based applications.
Class 9: Prompt Engineering - Master the art and science of crafting effective prompts to unlock the full potential of LLMs.
Project: Multiple Mini-Projects using Pipeline Abstraction (Sentiment Analysis, Text Generation, Question Answering, Translation, Named-Entity Recognition, Simple Chatbot, etc.)
Class 10: Embeddings & Vector Databases - Understand how to represent complex data as numerical vectors for efficient similarity search.
Class 11: RAG (Retrieval-Augmented Generation) - Build advanced applications that can reason over and cite from your own private data sources.
Class 12: Transfer Learning with QLoRA and PEFT - Adapt state-of-the-art language models for your custom datasets using powerful transfer learning techniques.
Project: RAG-based Chatbot.
