Hands-On Generative AI

Description

7 Weeks Hands-on Generative AI Course

  • Recordings available for lifetime
  • Get Access to all Upcoming Live Batches of the course

 

Week-wise Curriculum

Week 1: Foundations of Generative AI

  • Introduction to AI

  • Mathematical Foundations for AI

  • Probability, Statistics, and Linear Algebra

  • Basics of Neural Networks

  • Gradient Descent and Optimization Basics

  • Architectures: Feedforward, RNN, and CNN

  • Mini Project: Build a Simple Neural Network Using TensorFlow

  • Mini Project: Train an Autoencoder on the MNIST Dataset

Week 2: Deep Generative Models

  • Discriminative and Generative Models

  • Generative Adversarial Networks (GANs)

  • Variational Autoencoders (VAEs)

  • Probabilistic Data Generation Using VAEs

  • Four Mini Projects using TensorFlow

  • Metrics Visualization using TensorBoard

  • Mini Project: Implement a GAN to Generate Handwritten Digits

  • Mini Project: Train a VAE to Generate Faces Using the CelebA Dataset

Week 3: Transformers and Large Language Models

  • RNN, LSTM

  • Transformers Architecture

  • Attention Mechanism: Self-Attention and Positional Encoding

  • Major Project: Code Transformer from Scratch

  • Encoder-Decoder Framework

  • Pretraining Objectives: MLM, CLM

  • GPT, BERT

  • Mini Project: Sentiment Analysis Using BERT

Week 4: Fine-Tuning, LangChain, LangGraph

  • Pretraining and Fine-Tuning

  • LoRA, QLoRA

  • Hugging Face

  • Fine-Tuning for Tasks Like Summarization, QA

  • LangChain Installation and Basic Setup

  • Overview of LangChain: Prompts, Memory, Chains, Agents

  • LangGraph: Nodes, State, StateGraph, Workflows

  • AI Agents

  • Mini Project: Simple Q&A Application Using LangChain

Week 5: Vector Databases, RAG

  • Vector Databases

  • ChromaDB

  • Applications of RAG

  • Building RAG Pipelines with LangChain

  • Building Frontend Using Streamlit

  • Major Project: Build End-to-End Chatbot Like ChatGPT Using Streamlit, LangGraph, ChromaDB, WebSearch Tools, and Memory with LLMs

  • Project: Build an App Using Streamlit for Image Generation, Image Caption Generation, and Video Caption Generation

Week 6: Trending Topics

  • MCP - Model Context Protocol

  • Ollama

  • Projects - Fine-Tuning Using Unsloth

  • Mixture of Experts

  • Chain of Thoughts

  • Deepseek Architecture

Week 7: Projects & Advanced Topics

  • Distillation

  • Diffusion Models

  • Vision Transformers

  • Multimodal Models

  • CLIP

  • Prompt Engineering

 

FAQs

Will there be recordings of the classes?
You will have lifetime access to all the class recordings. You can re-watch, revise, or attend the next batch's live classes (as and when they happen) with lifetime validity.

What are the prerequisites for the course?
Basics of Python, NumPy, and Pandas. Videos are provided for these topics. So, the only prerequisites are an internet connection and a hunger for learning.

Is Machine Learning a prerequisite for the course?
All the basic fundamentals required for Generative AI will be taught in the course. You do not need to have any prior knowledge of Machine Learning or AI.

How many projects will we work on? Can I add these to my resume?
We will work on 10 projects that you can add to your resume.

Is this course for freshers or experienced people?
This course is for anyone who wants to build projects and understand Generative AI. Years of experience do not matter.

How will you be able to cover so much in 7 weeks?
You can check out testimonials – if you are consistent with the course, we promise that you will surprise yourself. This course will make you very confident in working with trending and future-defining technologies.

What languages do we use to build the projects?
Python.

Can I watch the classes only on my phone without a laptop?
Yes, you can watch the classes on your phone without a laptop. However, it is a hands-on course, so it is better to code as we proceed.

Will you provide the code?
Yes!

Where can I ask my doubts?
The Discord community will always be active!

What language will the course be taught in?
Everything will be taught in English.

Do you have a mobile application?
We have a mobile application for both Android and iOS.

Can I watch the class recordings or go through notes offline?
You can download the recordings and notes on the mobile application and use them offline at your convenience.

Do you provide a certificate for the course?
The certificate of completion is available.

Can I get invoices for reimbursement?
Yes, a proper invoice with GSTIN is available as soon as you enroll in the course.

I have more questions. How can I reach out to you?
Drop us a mail at support@educosys.com.

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