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Cutting-Edge Technology

Generative AI and Prompt Engineering

Master the fundamentals of large language models, transformer architectures, and advanced prompt engineering techniques. Learn to design effective prompts using chain-of-thought, few-shot, and role-based prompting strategies. Explore fine-tuning, RLHF, safety frameworks, and domain-specific applications across healthcare, legal, and education sectors.

Transformer Architecture & LLMs
Advanced Prompt Design Patterns
Safety & Ethics Frameworks
Domain-Specific Applications

This comprehensive course covers everything from generative model fundamentals to production deployment, including supervised fine-tuning, RLHF, bias mitigation, and governance frameworks, culminating in a complete generative AI solution with prompt-based interfaces.

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IN +91
Generative AI and Prompt Engineering Course

Course Overview

Key Features

  • Comprehensive 10-Lesson GenAI Journey from foundational concepts to production deployment
  • Cutting-Edge Technology Focus on Large Language Models and Transformer architectures
  • Domain-Specific Applications across healthcare, legal, education, and enterprise sectors
  • Ethics and Safety Integration covering bias mitigation, hallucinations, and governance frameworks
  • Production-Ready Deployment Skills including infrastructure, API development, and system governance
  • End-to-End Capstone Project developing, testing, and deploying complete GenAI solution with prompt interfaces

Skills You'll Master

  • LLM Architecture: Transformer models, attention mechanisms, self-attention, and model scaling principles
  • Advanced Prompting: Chain-of-thought, few-shot, role-based prompting, and prompt design patterns
  • Model Fine-tuning: Supervised fine-tuning, RLHF (Reinforcement Learning with Human Feedback), and ethical guardrails
  • Evaluation Methodologies: Human and automatic evaluation techniques, bias detection, and output assessment
  • Safety and Ethics: Hallucination management, bias mitigation strategies, and AI safety frameworks
  • GenAI Applications: Content generation, conversational AI, code generation, and cross-domain prompt optimization

Curriculum Details

Eligibility:
ML/DL background and understanding of neural networks
Prerequisites:
Python programming and experience with AI/ML frameworks
Duration:
10 intensive lessons + generative AI capstone project