Mastering Gen Ai - Prompt Engineering A Hands-On Guide
Mastering Gen Ai - Prompt Engineering: A Hands-On Guide
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.37 GB | Duration: 3h 7m
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.
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