Founder and CEO of Quanta AI Labs

MOHIT MANDAWAT

🚀 Master Generative AI &amp; Build Your Future in AI-Driven Innovation!What Will You Achieve? By the end of this 12-week cohort, you will:✅ Master Generative AI tools like Stable Diffusion, Automatic1111, and ComfyUI, enabling you to create high-quality AI-powered visuals.✅ Develop and fine-tune AI models for text and image generation, making you proficient in real-world AI applications.✅ Build AI Agents &amp; RAG-based systems to automate workflows, boost productivity, and enhance business intelligence solutions.✅ Deploy AI-driven applications and integrate AI-powered automation into business, marketing, and software development workflows.✅ Become job-ready for high-demand AI roles such as Generative AI Engineer, AI Researcher, AI Consultant, and AI Product Developer, giving you a competitive edge in the job market.✅ Enhance your earning potential by leveraging AI expertise to secure high-paying jobs, freelance opportunities, or AI-driven business ventures.<hr><h3>How Likely Are You to Achieve This? 📈</h3>We’ve structured this cohort for guaranteed success through: 🔹 Hands-on training with real-world projects &amp; assignments 🔹 Expert-led sessions from professionals in the industry 🔹 1:1 mentorship &amp; personalized guidance 🔹 Exclusive AI community support &amp; networking<hr><h3>How Much Time Will It Take? ⏳</h3>📅 12 Weeks | Weekend-Friendly Format 🕒 Live Online Classes + Recorded Content + Self-Paced Assignments 💡 Validity: 1 Year access to all resources &amp; recordings<hr><h3>📚 Weekly Break​down (Step-by-Step Learning Path) 🔥</h3>🔹 Week 0: Prerequisites Setup + GPU Access – Set up your tools &amp; get GPU access for AI training 🔹 Week 1: How Diffusion Works + Stable Diffusion – Generate AI images with Stable Diffusion 🔹 Week 2: Automatic1111 Mastery – Learn workflow automation for AI-driven image generation 🔹 Week 3: ComfyUI Workflows – Customize AI workflows &amp; experiment with advanced image generation 🔹 Week 4: Fine-Tuning Models – Train &amp; optimize AI models for custom outputs 🔹 Week 5: Catch-Up &amp; Progress Review – Recap past lessons &amp; resolve doubts 🔹 Week 6: Large Language Models (LLMs) + Function Calling – Understand &amp; build AI assistants 🔹 Week 7: Retrieval-Augmented Generation (RAG) – Enhance AI knowledge retrieval &amp; text generation 🔹 Week 8: AI Agents Development – Automate workflows using smart AI Agents 🔹 Weeks 9-12: Hands-On Projects – Work on real-world AI projects, refine your portfolio​<hr><h3>🛠 Tools, Resources &amp; Bonuses You’ll Get 📦</h3>✔️ Pre-configured AI toolkits for seamless learning ✔️ Access to exclusive premium AI tools &amp; workflow templates ✔️ Bonus content on AI career opportunities &amp; freelancing guidance ✔️ Networking with AI professionals &amp; collaboration opportunities ✔️ Post-course support for AI job placements &amp; real-world applications 🚀&nbsp;&nbsp;You Get Everything for Just ₹24,999If you already have a GPU and want to run everything on your own hardware, use the coupon code: WITHOUTGPU 📢 Start Your AI Journey Today! 👉 Enroll now at <a rel="noopener" target="_new">Quanta AI Labs Cohort</a> and unlock the future of technology. ​​​

Module 0 - Prerequisites

How to setup Jarvis labs

How to install Automatic1111 on Lighting AI

How to install ComfyUI on Lighting AI

Week 0: Introduction & Requirement Videos

Lesson 1: History of GenAI, How diffusion model works, Tensor.art

Diffusion Explainer:&nbsp;https://poloclub.github.io/diffusion-explainer/ Embeddings:&nbsp;https://projector.tensorflow.org/

Lecture 2 How diffusion works.mp4

Lesson 2: How Diffusion Works & Tensor.art

Lesson 3: Prompt Engineering for Diffusion Models

Week 1: Introduction to Diffusion Models

Lesson 1: Stable Diffusion part 1

Lesson 2: Stable Diffusion Parameters and How to Use it.

Lesson 3: Ip adapter & Inpainting

Lesson 4: SD parameters 2

Lesson 5: Install Models in Automatic1111

Lesson 6: SD parameters 3

Lesson 7: SD parameters 4

Lesson 8: SD parameters 5

Lesson 9: SD parameters 6

Lesson 10: SD parameters 7

Lesson 11: SD parameters 8

Lesson 12: SD parameters 9

Lesson 13: SD parameters 10

Lesson 14: SD parameters 11

Lesson 15: SD parameters 12

Week 2: Introduction to Stable Diffusion

Lesson 1: ComfyUI Basics

Lesson 2: ComfyUI Advance workflows

Week 3: Introduction to ComfyUI

Practice Sets and assignment

Practice Sets and Assignment

Lesson 1: Installation of KohyaSS

Lesson 2: Basics of Fine Tuning

Lesson 3: Prerequisites  

Lesson 3: LoRA Training and its Parameters

Week 4: Fine Tune Your Own Image Model

Lesson 1: Projects

Week 5: Projects and Catch Up

Lesson 1: Generative AI in a Nutshell

Lesson 2: LLM from Scratch Part 1

Lesson 3: LLM from Scratch Part 2

Lesson 4: What is GPT?

Lesson 5: Basics Information about APIs

Pre requites before LLMs

Lesson 1: How LLMs Works

Lesson 2: Intro to LLMs Part 2

Lesson 3: LLM In-Context Learning

Lesson 4: Function Calling

Week 6: Intro to LLMs

Lesson 1: Huggingface and Langchain

Lesson 2: Huggingface Libraries

Pre-requites Before RAG/CAG

Lesson 1: Intro to RAG

Lesson 2: RAG and Its Importance

Lesson 3: How vector search and semantic ranking improve your GPT prompts

Lesson 4: Complex Queries over Multiple Documents

Lesson 5: Practical Tips and Tricks for Productionizing RAG

Lesson 6: RAG Pain Points & their solutions

Lesson 7: Building Production-Ready RAG Applications: Jerry Liu

Lesson 8: RAG Based GENAI APP

Week 7: RAG

Lesson 1: Intro to Fine tuning - LLMs

Lesson 2: Data Preparation for fine tuning

Week 7 Part 2: Fine Tuning LLM

Lesson 1: AI workflows

Lesson 2: AI Agents and Its Application

Week 8: AI Agents and AI Workflows

Comfyui (3).png

https://youtu.be/5ulhyO7xAq8

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Generative AI Mastery