Generative AI and Prompt Engineering

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Duration 1 day – 8 hrs

 

Overview

 

This training course provides a comprehensive introduction to generative AI and prompt engineering. Participants will learn the principles, techniques, and tools required to effectively utilize generative models like GPT-3 and GPT-4. The course covers crafting effective prompts, fine-tuning models, and applying generative AI to solve real-world problems across various domains. 

 

Objectives

 

  • Understand the fundamentals of generative AI and prompt engineering.
  • Learn how to create effective prompts to elicit desired responses from generative models.
  • Explore the architecture and functioning of models like GPT-3 and GPT-4.
  • Gain hands-on experience in fine-tuning generative models.
  • Apply generative AI to solve practical problems in various domains.

 

Audience

 

  • AI Researchers and Practitioners
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Business Analysts
  • Product Managers
  • Technology Enthusiasts

Prerequisites 

  • Basic understanding of machine learning and artificial intelligence concepts.
  • Familiarity with programming languages such as Python.
  • Basic knowledge of natural language processing (NLP) is helpful but not required.

 

Course Content

 

Module 1: Generative AI Foundation

 

  • GenAI course Overview
  • Define GenAI
  • GenAI Demo
  • Lab: Generate-Videos-in-single-prompt
  • Applications of GenAI
  • Technologies behind GenAI
  • Part1-Ethics and Legal in AI
  • Part2-Ethics and Legal in AI
  • Lab: Generate ppt in 30 secs
  • Managing GenAI Projects
  • Security in GenAI
  • Future of AI
  • Lab: Generate AI voice in single prompt
  • GenAI in Finance
  • GenAI in Sales and Marketing
  • GenAI in HR Management
  • Lab: Generate AI avatar videos
  • GenAI in Healthcare

 

Module 2: Prompt Engineering

 

  • Define Prompt Engineering
  • Prompting Technique
  • Behind the scenes Prompt to output
  • Lab: Prompt with Chatgpt 3.5
  • Lab: Prompt with Chatgpt 4.0
  • Lab1-Prompt with Anthropic Claude
  • Lab: Prompt with Google Gemini

 

Module 3: Natural Language Processing

 

  • Introduction to NLP
  • Applications of NLP
  • Evolution of NLP
  • Challenges in NLP
  • NLP tasks
  • NLP Pipeline
  • NLP tools and Libraries
  • Lab 1: Email spam filtering
  • Lab 2: Text summarization
  • Lab 3: NLP-data-pre-processing
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