Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based

Course Overview

The Applied Generative AI Course certification duration is 6-months. The advanced certification course supports the students in building and deploying GenAI models. The course offers hands-on project-based learning with 25+ projects. The course offers a cutting-edge Generative AI curriculum that is co-designed with the IIT Guwahati.

The students will gain in-depth knowledge of the concepts of LLMs and RAGs to develop and deploy RAGs and Agentic systems. The Applied Generative AI Course certification by OdinSchool offers hackathons, case study discussions, and Q&A sessions with experts. With the help of industry experts, they will apply the learned concepts in real-world scenarios.

Also Read: Online Artificial Intelligence Courses & Certifications

The Highlights

6 Months Course
Live Online Classes
Live Doubt Clearing Sessions
Professional Profile Building
Workplace Behavioral Skills Workshops
2-Day Campus Immersion Programme
Advanced Certification from E&ICT/IIT Guwahati

Programme Offerings

interview preparation
Placement Support
Executive Alumni Status at E&ICT Academy
IIT G 200+ Hours of Interactive Sessions by Experts & IIT Faculty
Career Guidance

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIT Guwahati (IITG)

The Applied Generative AI Course certification fee is Rs 1,20,000 Excluding GST. The candidates can reserve the seats by paying Rs 5,000.

Applied Generative AI Course Fee Structure

Certification Course	Fees
Applied Generative AI Course	Rs 1,20,000+GST

Eligibility Criteria

Academic Qualifications

The aspirants must have a bachelor's degree with an aggregate of at least 50% marks and with a background in Mathematics or Computer Science, and knowledge of Descriptive Statistics, Linear Algebra, SQL, and Python are preferable.

Certification Qualifying Details

Upon the completion of the course, the students will receive an advanced Certification from E&ICT Academy, IIT Guwahati.

What you will learn

After completing the Applied Generative AI Course certification syllabus, the participants learn technologies and tools to develop and deploy GenAI models. They will gain in-depth knowledge of Python advanced, exploratory data analysis (EDA) and foundational language models, and fine-tuning. With the support of industry professionals aspirants will be able to apply the concepts in real-world applications.

The aspirants will gain a deep understanding of Deep Learning (DL) and Natural Language Processing (NLP), RAGs, agents, vision and deployment. Upon the completion of the Applied Generative AI Course training, they will gain hands-on real-world projects like Chat with Website, Medical Chatbot, Text to SQL Query and Output Generator and Q&A with a Code Base.

Who it is for

Data ScientistMachine Learning EngineerArtificial Intelligence Engineer

The certificate course is designed for aspiring students, and working professionals to develop their skills and knowledge. This course is also beneficial for:

Admission Details

Students can join the Applied Generative AI Course classes by following the below-mentioned steps:

Step 1: Browse the link mentioned below:

https://www.odinschool.com/generative-ai-course-iitg

Step 2: Candidates can visit the course page mentioned above, click on “Apply Now,” add the required information and submit.

Step 3: Talk with the counsellor, review your eligibility, and begin the course.

Application Details

Candidates can visit the official course page and click on “Apply Now,” fill out the necessary details in the form and submit it.

The Syllabus

Orientation

Introduction to curriculum & program structure
A walk-through of LMS & Odin Labs
A walk-through of a GenAI product and the engineering behind

Python Advanced

Recursion
Lambda Functions
Higher Order Functions
Numpy
Pandas
Date-time
Regular Expression
OOPs- class, Object, Principles of OOPS
Decorators, Exception Handling, File Handling, Generators

Exploratory Data Analysis (EDA)

Data pre-processing and exploration
Handling missing values
Handling outliers
Dealing with categorical variables
Introduction to Machine Learning and SKlearn
Handle Date columns and column with multiple values
Feature Scaling
Covariance & Corelation
EDA with Student data

Deep Learning and Natural Language Processing

Perceptron in-depth intuition and implementation
Multi-layer perceptron(ANN-Artificial Neural Network)
Recurrent Neural Network (RNN) and its types
Introduction to NTLK, spacy libraries
Tokenization
Word embeddings
Small project to create word embeddings

Foundational Language Models, Finetuning

Foundational Language Models
- LLAMA3 Instruct 8B / 70B
- LLAMA3 Chat - LLAMA3 code
- E5 embedding
- MIXTRAL 8X7B
- Small Language Models (SLMs) (PHI3, bitNet B1.58)
- Planning & Reasoning
- Transformer Architecture
- Types of Attention
- Types of positional embedding
- Long context
Enhancing LLM throughput on GPUs
- KV (Key Value) Cache
- Flash attention
- VLLM (Virtual Large Language Model)
- TRT LLM (TensorRT Large Language Model)
- Input / Op token length
- Tokenization strategies
- Long rope
Para Efficient Fine tun Low Rank Adaptation (LORA), P tuning, finetuning of embedding models)

Mini Capstone Project

Retrieval Augmented Generation (RAGs)

Alignment
- RLHF (Reinforcement Learning from Human Feedback)
- DPO (Direct Preference Optimization)
- RPO (Reasoning Preference Optimization)
RAGs (Retrieval Augmented Generation)
- Advanced ingestion
- Chunking
- Embedding
- Search
- Ranking
- Generation
- Evaluation
RAG frameworks
- LLANGCHAIN basics
- LLAMAINDEX
- LLANGRAPH

Agents, Vision, Deployment

Agentic workflows and function calling
- LLANGCHAIN advanced
- AUTOGEN
Generative AI for Images and videos
- CLIP (Contrastive Language-Image Pre-training)
- UNETS (U-shaped encoder-decoder network architecture)
- Diffusion models
Containerised deployment and Kubernetes - LLM deployment

CAPSTONE PROJECT

FINAL ASSESSMENT

Instructors

IIT Guwahati (IITG) Frequently Asked Questions (FAQ's)

1: How long is the Applied Generative AI Course training?

The certification course duration is 6 months. The course offers in-depth knowledge of generative AI and all the aspects related to it.

2: What are the eligibility criteria for the Applied Generative AI Course certification?

Students must have a bachelor's degree and a background in Mathematics or Computer Science, and knowledge of Descriptive Statistics, Linear Algebra, SQL, and Python are preferable.

3: What are the timings for the online Applied Generative AI Course?

The course's live online sessions are held on Saturdays and Sundays and doubt clarification, project reviews, and industry interactions classes are held on weekdays.

4: What is the admission process for the Applied Generative AI Course certification?

The admission process for this course is easy, counsellors will connect with the students to review their eligibility and profile. They are required to apply with the required basic details.

5: What is the career potential after pursuing the online Applied Generative AI Course?

After pursuing this course, students can take up roles such as AI Developer, Data Scientist, ML Engineer, AI Engineer, GenAI Developer, Software Developer - GenAI, and Applied AI Researcher.