Advanced Post Graduate Program In Generative AI

Join the Advanced Post Graduate Program In Generative AI Course with Comprehensive Career Support: Gain Industry-Ready Skills, Work on Live AI Projects, and Unlock Top Career Opportunities!

No Cost EMI Available
Avg salary hike - 75%*
Highest CTC - 43 LPA
Rated 4.7/5
LIMITED TIME OFFER!

Know more about the placements with a FREE program preview along with the brochure

Program Fee - ₹59,999 ₹39,999 +Taxes

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Program Highlights

Explore cutting-edge AI techniques, hands-on projects, expert mentorship, and industry-aligned learning for real-world innovation.

Who Is This Course For?

This course is designed for individuals seeking to enhance their skills and knowledge in Data Science with a focus on Generative AI. Whether you are an experienced data analyst, an aspiring machine learning engineer, or a professional exploring AI-driven solutions, this course covers essential topics such as data manipulation, machine learning, and advanced generative models like GANs and VAEs.

  • Data Scientists
  • Generative AI Enthusiasts
  • Tech Professionals
  • Entrepreneurs
  • Business Owners

Master The Future of AI

A structured journey from fundamentals to cutting-edge Generative AI mastery.

01
Introduction to AI 4 Hours
  • AI Evolution and History
  • Understanding AI Capabilities and Limitations
  • AI vs. Machine Learning vs. Deep Learning
  • AI Myths and Misconceptions
02
AI for Non-Technical Audiences 4 Hours
  • Simplified Explanation of AI Concepts
  • Ethics and Governance in AI
  • Basics of AI Algorithms and Data-Driven Decision-Making
  • AI Applications in Everyday Life
03
Applications of AI Across Industries 6 Hours
  • AI in Healthcare, Finance, Retail, Manufacturing, and Other Sectors
  • Case Studies and Real-World Examples
  • Identifying AI Opportunities (Interactive Session)
04
Generative AI and LLMs 6 Hours
  • Introduction to Generative AI
  • Survey of LLMs (GPT, BERT, T5, LLama, Gemini, Mistral, Perplexity)
  • Hands-on Demonstration (Text, Image, and Media Generation)
05
Python Programming Foundation
  • Basics of Python Programming
  • Control Flow and Decision Making
  • Loops in Python
  • Functions in Python
  • Python Data Structure
  • Working with Strings
  • File Handling in Python
06
Project-Based Learning 8 Hours
  • Project 1: Creative AI (Storyboarding & Video Generation)
  • Project 2: AI in Data Analysis
  • Project 3: AI-Driven ERP Solution for Retail
07
Approaches to AI Solutioning 4 Hours
  • Frameworks for AI Solutioning
  • AI in Product Management
  • Agile Methodologies and Design Thinking for AI
08
Intro to RPA 4 Hours
  • Overview of RPA and its Business Applications
  • AI-Powered RPA and Intelligent Automation
  • Hands-on: Building Simple RPA Bots
09
Emerging Trends & Future of AI 4 Hours
  • Explainable AI and Ethical AI
  • AI in IoT and Edge Computing
  • Capstone Discussion and Q&A
10
AI Ethics and Responsible AI 6 Hours
  • Introduction to AI Ethics: Principles and Guidelines
  • Bias in AI: Detection, Mitigation, and Case Studies
  • Explainability and Interpretability in AI Models
  • Privacy and Data Security in AI Systems
11
Prompt Engineering 4 Hours
  • Understanding Prompts and Their Role in AI
  • Types of Prompting: Zero-Shot, One-Shot, Few-Shot Learning
  • Advanced Techniques: Chain-of-Thought (CoT), SelfConsistency, Tree of Thoughts
  • Hands-on Exercises: Enhancing Model Outputs with Effective Prompts
12
RAG (Retrieval-Augmented Generation) 6 Hours
  • Introduction to RAG and How It Works
  • Integrating Vector Databases for Efficient Search (e.g., FAISS, Pinecone)
  • Implementing RAG in LLM Applications
  • Hands-on Project: Building a Q&A System with RAG
13
Fine-Tuning LLMs 6 Hours
  • Understanding Model Fine-Tuning vs. Pretraining
  • Data Preparation and Dataset Selection for Fine-Tuning
  • Tools for Fine-Tuning: Hugging Face Transformers, LoRA, QLoRA
  • Hands-on: Fine-Tuning a Pretrained LLM on Custom Data
14
AI Agents & Autonomous Systems 6 Hours
  • Introduction to AI Agents and Autonomous Systems
  • Multi-Agent Systems and Reinforcement Learning for AI Agents
  • Tools for AI Agents: LangChain, Auto-GPT, BabyAGI
  • Hands-on: Building an AI Agent for Automating Tasks
15
Final Capstone Project 8 Hours

Students apply their learning to create a real-world AI solution

Options:

  • AI-powered Chatbot with RAG
  • AI Agent for Workflow Automation
  • Fine-Tuned LLM for Industry-Specific Applications
Certificate Image

Certificate of Completion

Upon successful completion of the Eduinx Data Science with Generative AI Program, you will receive a prestigious certification that validates your expertise in advanced data science and AI techniques.

  • Boost your professional credentials and career prospects.
  • Master the latest tools and techniques in Generative AI.
  • Benefit from comprehensive job assistance.
  • Connect with a community of data science professionals.
  • Benefit from one-on-one mentorship.

Key Takeaways

This section highlights some of the key insights and learnings you'll gain from the course.

Enhanced Skills

Develop advanced skills in Data Science with Generative AI

Global Perspective

Gain insights into industry trends and best practices

Cloud Technology

Explore the latest AI technologies and tools

Networking

Connect with fellow professionals and expand your network

Problem-Solving

Enhance your problem-solving abilities and critical thinking skills

Technical Proficiency

Improve your technical proficiency and stay ahead in the digital landscape.

Expert Trainers

Murthy Adivi

Murthy Adivi

Data Science Expert

Dr. Gunjan Bhatia

Dr. Gunjan Bhatia

AI Researcher

Dr Arpit Yadav

Dr Arpit Yadav

Senior Data Scientist

Arpit Sharma

Arpit Sharma

ML Engineer

Lavanya Srivastava

Lavanya Srivastava

Data Analyst

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