Advanced Generative AI Course in Chennai with Real-Time Tools

This course provides a deep dive into Generative AI, covering foundational models, architectures, and real-world applications. Students will learn how to build, fine-tune, and deploy generative models such as GPT, DALL·E, Stable Diffusion, and GANs. The course includes hands-on labs, ethical discussions, and industry case studies.

Course Objectives

Understand the core concepts of Generative AI and its applications.

Work with transformers, diffusion models, and GANs for text, image, and audio generation.

Fine-tune and deploy large language models (LLMs) like GPT-4, LLaMA, and Mistral.

Use Hugging Face, OpenAI API, and LangChain for AI-powered applications.

Implement retrieval-augmented generation (RAG) and AI agents.

Evaluate model performance and mitigate biases.

Understand ethical concerns, copyright issues, and AI safety

Course Outline

Introduction to Generative AI

What is Generative AI?
Evolution of generative models (from RNNs to Transformers)
Key applications (text, image, video, music generation)

Large Language Models (LLMs)

Transformer architecture (Attention, GPT, BERT)
Prompt engineering & few-shot learning
Fine-tuning LLMs (LoRA, QLoRA)
OpenAI API, Hugging Face, and open-source L

Building chatbots with LangChain & LlamaIndex
Retrieval-Augmented Generation (RAG)
AI agent frameworks (AutoGPT, BabyAGI)

Text Generation & AI Assistants

How Stable Diffusion & DALL·E work
Fine-tuning diffusion models
ControlNet for pose/edge-guided generation

Image Generation with Diffusion Models

Generative Adversarial Networks (GANs)

DCGAN, StyleGAN, and CycleGAN
Applications in art, deepfakes, and data augmentation

Tools and Platforms Used

Python, PyTorch, TensorFlow
Hugging Face, OpenAI API, LangChain
Stable Diffusion, GANs, Autoencoders
Google Colab / Jupyter Notebooks

Who Should Join?

AI/ML engineers & data scientists
Software developers exploring AI
Digital artists & content creators
Entrepreneurs building AI-powered products

Audio & Video Generation

Text-to-speech (TTS) with VITS & ElevenLabs
Video generation models (Sora, Runway ML)

Ethics and Responsible AI

Bias, fairness, and misinformation risks
Copyright and legal challenges
AI safety and alignment

Generative Artificial Intelligence Training At Empirical Hub

Core Architectures and Models

What is Generative AI?
Models, machines, and their history plus the evolution of creative technologies

Create The Future With Code, Creativity, And Intelligence!

Generative AI is redefining buzzwords in the same way it is permeating through industries like healthcare and design — as a creative revolution. Here at Empirical Hub, we offer generative AI courses that delve into the most revolutionary models of the present like GPT, DALL·E, Stable Diffusion, and GANs, through our exciting frameworks.

If you are a student, a working professional, or a tech enthusiast, you are bound to gain the ability to build, fine-tune, and even deploy advanced generative models which have the capabilities to think, write, draw, and innovate.

Tech professionals looking to up skill through generative AI programs for professionals.
Developers and engineers eager to explore generative AI workshops.
Students and those starting out in the field for AI creativity.
Businesses and Teams looking to delve into AI possibilities in automation, art, and content.

Who Is This For?

Transformers and auto encoders
GPT (Generative Pre-trained Transformers)
DALL-E and Stable Diffusion image generation.

Real Projects & Hands-On Labs

Foundational Concepts

What You'll Learn

Generative AI is one we have put together using theory and practical work, so you are sure to gain from a wide array of knowledge.

GPT model fine-tuning for specific text generation tasks.
Developing an AI-powered image generator with Stable Diffusion.
Art, music, or code generation with open-source AI applications.
Python-based generative application deployment through API mitts.

Experience Learning Differently!

Deep fakes and deep creativity: ethics of the issue.
Business sector case studies in marketing, healthcare, design, and gaming.
Generative tools: responsible usage guidelines.

Ethical AI & Use Cases

It’s not just theory—learning through doing is powerful. Join our hands-on workshops and labs focused on generative AI, where you will design and execute real projects with artificial intelligence collaboratively and individually.

Design conversational interfaces powered by artificial intelligence.
Design image-producing models that create unique visuals.
Create unique user-specific narratives and other content.
Synthesize them into voice or video as digital assets.

Ready to Build with AI? Enroll in Our Generative AI Training Today!

For beginners and experts alike, our curriculum adjusts to your learning needs. With dedicated mentors and assorted materials at hand, our real dataset AI programs for professionals equip you with the tools to apply your learning in real situations.

Certification issued is recognized across industries
Build a project portfolio for your resume
Get template codes, APIs and necessary tool
Perfect for Automation, Content Creation, R&D

Don't Just Work with AI – Work Ahead of It

Empirical Hub teaches you the Generative AI tools needed to be a creator of tomorrow. Instead of just text and images, you can create music, tell stories, and even market all using generative AI where the association of logic and creativity happens.