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Generative AI

via SWAYAM Plus

Overview

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This course offers a comprehensive introduction to Generative AI, focusing on its principles, architectures, and practical applications. Learners will explore how generative models, including large language models (LLMs) and transformer architectures, create text, images, audio, and video by learning from vast datasets. The course covers advanced techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation, along with ethical considerations and bias mitigation. Hands-on projects and real-world case studies prepare participants to develop, deploy, and optimize generative AI solutions that drive innovation across industries while addressing operational and societal challenges.

Intended audience

Generative AI Engineer, AI Product Manager, Prompt Engineer, Model Fine-Tuner, AI Solutions Architect

Prerequisites

  • BE/BTech, ME/MTech, Bsc, Msc, BCA, MCA

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online proctored
  • Assessment type: Others
  • Assessment provider: Smartbridge
  • Certificate provider: Generative AI Engineer, AI Product Manager, Prompt Engineer, Model Fine-Tuner, AI Solutions Architect

NCrF level: 5.5 (NCrF credit-eligible)

Syllabus

  • Week 1: Introduction to Generative AI
  • Week 2: Foundations of Machine Learning and Deep Learning
  • Week 3: Natural Language Processing and Large Language Models (LLMs)
  • Week 4: Transformer Architecture and Attention Mechanisms
  • Week 5: Prompt Engineering and Fine-tuning Techniques
  • Week 6: Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
  • Week 7: Applications of Generative AI
  • Week 8: Multimodal AI and AI toolchain integration
  • Week 9: Ethical Considerations and Bias Mitigation
  • Week 10: Deploying and Scaling Generative AI Models
  • Week 11: Retrieval-Augmented Generation (RAG) and Advanced Workflows
  • Week 12: AI-powered Automation and Agents
  • Week 13: Real-world Case Studies and Hands-on Projects"

Taught by

Ms. Siri Chakkala

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