Generative AI Training Program - Live

Live Course
interested count67k+ interested Geeks

Become an industry-ready Gen AI Developer from the ground up.

  • Master the end-to-end lifecycle: design, build, and deploy advanced solutions.
  • Advance from Python and Deep Learning to context-aware apps with LangChain and RAG.
  • Customize local LLMs and build autonomous workflows with Crew AI and n8n.
  • Evaluate and deploy your AI systems to the cloud using Docker and FastAPI.
levelBeginner to Advancedcourse duration17 Weeks
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Summer SkillUp Deals are Live Don’t Miss Out | Call: +91- 9217990455or   Request a Callback
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Course Overview

Foundational Skills
Build a comprehensive foundation in Python, Object-Oriented Programming (OOP), and Data Science.
Deep Learning Mastery
Master Feedforward Networks, CNNs, RNNs, Backpropagation, and Transformer architectures.
Practical AI Workflows
Build Gen AI applications for NLP and Computer Vision using Hugging Face and LangChain.
AI System Design
Work with Embeddings, Vector Databases, and advanced RAG pipelines using enterprise AI workflows.
LLM Customization & Agents
Fine-tune Large Language Models using QLoRA & PEFT and create sophisticated multi-agent systems.
Responsible AI
Implement guardrails, bias checks, and evaluation metrics for secure and reliable AI systems.
End-to-End Deployment
Build and deploy AI solutions using FastAPI, Docker, Streamlit, Gradio, and local LLM workflows.

Skills You Will Learn

Deep Learning & Transformers
Prompt Engineering
RAG Systems
LLM Fine-tuning
    AI Agents
Model Context Protocols (MCP)
Model Evaluation
MLOps & Deployment

Tech Stack You Will Learn

Python
Keras & PyTorch
Hugging Face
LangChain
Ollama
Crew AI
n8n
FastAPI
Gradio & Chainlit
Docker
DeepEval
LangSmith
Read more

What Sets Us Apart

IBM Certification

IBM Certification

Earn an industry-recognized IBM Certificate after successfully completing the program
24 X 7 Doubt Support

24 X 7 Doubt Support

AI Chat Support for instant doubt resolution, plus a dedicated Teaching Assistant exclusively assigned to your batch.
Recognised Certification

Recognised Certification

Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime
Placement Assistance

Placement Assistance

Get end-to-end career support, Personalized Career Mapping, Tailored Job Opportunities, Resume & LinkedIn Optimization
Complimentary Course Access

Complimentary Course Access

Get 1-year premium access to course content and recordings, mentor-led quality you can revisit anytime, anywhere

Course Syllabus

Generative AI Training Program - Live
AI Toolkit for Developers

Week 1: Python Basics for Data Science

Day 1: Python Basics for Data Science

  • Introduction to Google Colab
  • Data Types and Typecasting
  • Conditionals, and Loops 

Day 2: Python Basics for Data Science

  • List Comprehensions
  • Functions, and Lambda Functions
  • Randomization
  • Inputs in Python

Week 2: Feedforward Neural Networks

Day 1: Feedforward Neural Networks

  • Understanding the AI Glossary
  • Perceptron, and Activation Functions
  • Layers and MLPs
  • Understanding the Training Loop

Day 2: Backpropagation

  • Backpropagation by Hand
  • Loss and Error Metrics
  • Project: MNIST Handwritten Digits Classification

Week 3: More Neural Networks

Day 1: Convolutional Neural Networks

  • What is an image?
  • Understanding kernels and convolutions
  • Convolution Layers, Pooling Layers
  • Convolutional Neural Networks
  • Project: Cats vs Dogs Classification

Day 2: Understanding the Intuition of Recurrent Neural Networks

  • What is a Sequence?
  • What is a Seq2Seq Model?
  • The RNN Cell
  • The LSTM Cell
  • Long-term Dependencies: Why RNNs are no longer relevant

Week 4: Transformers - Conceptuals

Day 1: Transformers - Conceptual Knowledge

  • Seq2Seq Models with RNN
  • What is Attention?
  • A High-Level Look at Transformers
  • Encoders
  • Self-Attention

Day 2: Transformers - Conceptual Knowledge

  • How are Attention Scores calculated?
  • Multi-Headed Attention
  • Positional Encoding
  • Residuals & Layer Normalization
  • Decoders
  • Linear and Softmax Layer
  • Revisiting the High-Level Look
Read more

Upcoming Batches

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Frequently Asked Questions

01

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02

Is there any number to contact for query?

03

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04

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05

Is there a refund option if I am not satisfied with the course?

06

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