Mastering Gen Ai - Prompt Engineering: A Hands-On Guide

Hands-on Training in Generative AI - Prompt Engineering

What you'll learn

Grasp Generative AI Fundamentals: Learn core concepts, applications, and models.

Master Prompt Engineering: Design, optimize, and troubleshoot effective prompts.

Build and Customize Prompts: Develop and fine-tune prompt frameworks for various tasks.

Apply Advanced Techniques: Explore advanced concepts and real-world applications of Generative AI.

Requirements

Basic Computer Skills: Familiarity with using a computer and navigating software applications.

Introduction to AI Concepts: A basic understanding of artificial intelligence is helpful but not required.

No Prior Experience Needed: The course is designed for beginners, so no prior experience in Generative AI or prompt engineering is necessary.

Access to a Computer: A computer with an internet connection for accessing course materials and completing hands-on exercises.

Description

Dive into the world of Generative AI with our comprehensive course designed for learners at all levels. "Generative AI and Prompt Engineering: A Hands-on Guide" offers a thorough exploration of Generative AI technologies and practical techniques for effective prompt engineering.In this course, you will:Understand Generative AI: Gain a solid foundation in what Generative AI is, its various models, and its real-world applications.Master Prompt Engineering: Learn how to craft and optimize prompts to guide AI models, including best practices and strategies for overcoming common challenges.Build Practical Skills: Develop hands-on experience by creating and customizing prompt frameworks, with step-by-step guidance on setting up your development environment and fine-tuning models.Explore Advanced Topics: Delve into advanced concepts such as transfer learning and zero-shot learning, and see how these techniques apply to real-world scenarios through detailed case studies.Whether you're new to AI or looking to enhance your existing knowledge, this course provides the tools and insights needed to effectively leverage Generative AI and prompt engineering in your projects. With engaging content, practical exercises, and real-world examples, you will build a strong foundation and gain confidence in applying these cutting-edge technologies. Join us to unlock the potential of AI and advance your skills with practical, real-world applications and interactive learning experiences.

Overview

Section 1: Introduction to Generative AI

Lecture 1 Overview of Generative AI

Lecture 2 Key Applications of Generative AI

Lecture 3 A Brief History of Generative AI

Lecture 4 Types of Generative AI Models

Section 2: Fundamentals of Prompt Engineering

Lecture 5 Understanding Prompts in AI

Lecture 6 Demo - Understanding prompts in AI

Lecture 7 Demo - The Role and Importance of Prompt Engineering

Lecture 8 Best Practices for Effective Prompt Design

Lecture 9 Demo - Best practices in prompt design

Lecture 10 Challenges and Pitfalls in Prompt Engineering

Lecture 11 Demo - Common challenges in prompt engineering

Section 3: Hands-on: Building a Prompt Engineering Framework

Lecture 12 Setting up the Development Environment

Lecture 13 Writing a Basic Prompt Generation Script

Lecture 14 Demo - Creating a basic prompt generation script

Lecture 15 Customizing Prompts for Specific Use Cases

Lecture 16 Demo - Customizing prompts for specific tasks

Lecture 17 Demo - Testing and Fine-tuning Your Prompt Models

Section 4: Creating Effective Prompts

Lecture 18 Exploring Different Types of Prompts

Lecture 19 Demo - Understanding different types of prompts

Lecture 20 Formulating Precise Prompts for Desired Outputs

Lecture 21 Demo - Formulating Precise Prompts for Desired Outputs

Lecture 22 Demo - Iterating, Testing, and Refining Prompts

Lecture 23 Aligning Prompts with Specific Project Goals

Lecture 24 Demo - Using prompt engineering to achieve specific goals

Section 5: Optimizing Prompt Generation

Lecture 25 Tools and Techniques to Optimize Prompt Generation

Lecture 26 Demo - Tools and techniques for optimizing prompt generation

Lecture 27 Enhancing Efficiency and Accuracy of Prompts

Lecture 28 Demo - Strategies for improving prompt efficiency and accuracy

Lecture 29 Ethical Implications in Prompt Engineering

Lecture 30 Demo - Considering ethical implications in prompt engineering

Lecture 31 Real-world Applications of Optimized Prompts

Lecture 32 Demo - Real-world applications of optimized prompt generation

Section 6: Advanced Concepts in Generative AI

Lecture 33 Exploring Transfer Learning in Generative AI

Lecture 34 Demo - Transfer learning in Generative AI

Lecture 35 Zero-shot and Few-shot Learning Techniques

Lecture 36 Demo - Zero-shot and few-shot learning techniques

Lecture 37 Ethical Design in Advanced Prompt Engineering

Lecture 38 Demo - Ethical considerations in prompt design

Lecture 39 Recent Breakthroughs in Generative AI Research

Lecture 40 Demo - Recent advances in Generative AI research

Section 7: Applications of Prompt Engineering

Lecture 41 Leveraging Prompt Engineering for Content Generation

Lecture 42 Demo - Natural language generation for content creation

Lecture 43 Automating Code Generation Using Prompts

Lecture 44 Demo - Automated code generation using prompts

Lecture 45 Using Prompts for Personalized Recommendations

Lecture 46 Demo - Personalized recommendation systems with prompt engineering

Lecture 47 Enhancing Virtual Assistants with Prompt-driven Responses

Lecture 48 Demo - Enhancing chatbots and virtual assistants with prompt design

Section 8: Case Studies and Real-world Examples

Lecture 49 Case Study: GPT-3 and the Role of Prompt Engineering

Lecture 50 Demo - Case study- GPT-3 and prompt engineering

Lecture 51 Real-world Implementations of Prompt-based Systems

Lecture 52 Demo - Real-world examples of successful prompt-based systems

Lecture 53 Lessons from Failed Prompt Engineering Projects

Lecture 54 Demo - Lessons learned from failed prompt engineering projects

Lecture 55 Future Trends in Generative AI and Prompt Engineering

Lecture 56 Demo - Future prospects and trends in Generative AI and prompt engineering

Beginners in AI: Individuals with little to no experience in Generative AI who want to explore this growing field.,Aspiring Prompt Engineers: Those interested in learning how to design and optimize effective prompts for AI models.,Developers and Data Scientists: Professionals seeking to enhance their skills in AI by applying hands-on prompt engineering techniques.,Content Creators and Innovators: Creatives looking to leverage Generative AI for content generation, automation, or product innovation.