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Genesis | GenAI

​The Genesis course by CodeGrads is a comprehensive 4-month program that blends Python programming, data analytics, and Generative AI. Designed for beginners and professionals with or without a foundational understanding of Python, it offers instructor-led sessions culminating in a certification from National American University. The curriculum encompasses Python essentials, data exploration, visualization techniques, and hands-on experience with Generative AI applications. This course is ideal for individuals aiming to enhance their skills in AI and data science, preparing them for advanced roles in the tech industry.

₹49000.00 ₹75000.00 35% OFF

To enroll in this course, please contact the Admin
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Course Overview

Schedule of Classes

Course Curriculum

2 Subjects

GenAI

16 Exercises59 Learning Materials

Module 1

Preprocessing Techniques in NLP

PPT

Neural Networks

PPT

Module 2

Optimizers

PPT

Hyperparameter tuning - Neural Network

PPT

Assignment G1 and G2

Module 3

Attention Mechanism and it's Types

PPT

Transformers Architecture

PPT

Module 4

Bert and its Types

PPT

Auto Model

PPT

AutoTokenizer

PPT

Assignment G3 and G4

Module 5

Langchain and its Components

PPT

LLM Comparison

PPT

Module 6

ChatGPT with OpenAPI keys

PPT

Introduction to DeepseekR1 and its implementation

PPT

Assignment G5 and G6

Module 7

HuggingFace

PPT

Types of LLMs

PPT

Module 8

Fine-Tunning

PPT

Prompt Engineering

PPT

Assignment G7 and G8

Module 9

Code generation

PPT

Chains

PPT

Module 10

RAG Summarization

PPT

Document Loaders

PPT

Assignment G9 and G10

Module 11

Chunking

PPT

RAG

PPT

Module 12

Retrievers for RAG

PPT

Vector Databases

PPT

Assignment G11 and G12

Module 13

RAG Evaluation

PPT

Quantization

PPT

Module 14

Embedding Models

PPT

Multi Modal RAG Architecture

PPT

Assignment G13 and G14

Module 15

Tools and Agents

PPT

CrewAI

PPT

Module 16

LangGraph

PPT

Gradio

PPT

Assignment G15

Module 17

Text-To-Image

PPT

MCP

PPT

Module 18

Agentic AI

PPT

G1

G2

G3

G4

G5

G6

G7

G8

G9

G10

G11

G12

G13

G14

Module Assessment 3

Assignment G16 and G17

Module Assessment 3

Python

12 Exercises19 Learning Materials

Module 1

Data Structure

PPT

Data Types

PPT

Language Syntax

PPT

Module 2

Lambda functions

PPT

Notable Built-In Functions in Python

PPT

User Defined Functions

PPT

Comments Python Keywords and Identifiers

PPT

Lambda functions

PPT

Assignment P1, P2, P3 and P4

P1

Assignment

P2

Assignment

P3

Assignment

P4

Assignment

Module 3

For and While Loops

PPT

If Else Block

PPT

List Comprehensions

PPT

Module 4

Error Handling

PPT

OOP Concepts

PPT

OS Library

PPT

Python Packages

PPT

Assignment P5, P6, P7 and P8

P5

Assignment

P6

Assignment

P7

Assignment

P8

Assignment

Module 5

Threading and Parallel Processing

PPT

Understanding Date and Time

PPT

Virtual Environment

PPT

Assignment P9 and P10

P9

Assignment

P10

Assignment

Module Assessment 1

Module Assessment 1

Assignment

Module Assessment 1

Assignment

P1

P2

P3

P4

P5

P6

P7

P8

P9

Module Assessment 1

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