7 Weeks Hands-on Generative AI Course
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
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
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
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
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
MCP - Model Context Protocol
Ollama
Projects - Fine-Tuning Using Unsloth
Mixture of Experts
Chain of Thoughts
Deepseek Architecture
Distillation
Diffusion Models
Vision Transformers
Multimodal Models
CLIP
Prompt Engineering
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.