Generative Ai Fundamentals Specialization [5 Courses In One]

Generative Ai Fundamentals Specialization [5 Courses In One]
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.44 GB | Duration: 6h 46m

The Generative AI Fundamental Class for everyone! Master GenAI with projects, challenges and theory. Many courses in one

What you'll learn

Explore the core principles, functionalities, and models that underpin generative AI foundation models, encompassing fundamental concepts, capabilities, tools

Utilize advanced prompt engineering techniques to craft precise and effective prompts, enabling the generation of desired outcomes from AI models with enhanced

Examine the constraints and challenges inherent in generative AI technology, delving into its limitations and ethical considerations to foster responsible usage

Recognize the transformative potential of generative AI in advancing career opportunities and workplace enhancements

Engage in practical, hands-on activities to develop your own chatbot

Stay ahead of future trends in the post-generative AI world, ensuring relevance and readiness for what's to come.

Requirements

Simply eagerness to learn!

Description

Our lives are being revolutionized by Generative AI.Generative AI for Everyone: Master ChatGPT, LLM, Prompt Engineering, and Build Your GenAI Chatbot with Ease.To help you take advantage of Generative AI's promise for a better job, career, and life, this 5 courses offers a thorough grasp of the core ideas, models, tools, and applications of the technology.The five quick, self-paced courses that make up the specialty take three to five hours apiece to finish.Unlock the transformative potential of Generative AI through our comprehensive specialization, "Generative AI Fundamentals Specialization [5 Courses in One]."Learn how to use generative AI tools to create desired outputs by comprehending the power of prompt engineering approaches and writing successful prompts. Discover the fundamental models and building blocks of generative AI, including the GPT , DALL-E, BARD, Stable Diffusion models. Learn about the problems, concerns, and ethical ramifications of generative AI.You will get the chance to investigate the applications of generative AI in these lectures by using well-known programs and resources such as Hugging Face, OpenAI ChatGPT, Google Gemini, and Stable Diffusion.This specialty is open to anybody who is excited about learning about the potential of Generative AI, and it doesn't require any prior technical or AI background knowledge. Professionals from many backgrounds will gain from it.You will work via interactive classes and projects in this specialty to acquire real-world expertise using prompt engineering tools, foundation models, AI applications, and text, picture, and code production.Here are a few instances of the course content:Generating text using ChatGPT and BardCreating images using GPT and Stable DiffusionCode generation in operationUnderstanding prompting instrumentsExperimenting with promptsDifferent approaches in prompt engineeringGenerative AI foundation modelsExploring ChatGPT, BARD and Hugging FaceIMPORTANT!Prior to beginning this course, it's crucial to grasp its scope and objectives to ensure they meet your expectations.This course is designed with a specific audience in mind: Generative AI Fundamentals Specialization [5 Courses in One], who want to understand AI, and what to do with so-called AI "trend", and explore its potential in business.Catch the opportunities brought by the AI revolution.Welcome!

Overview

Section 1: Generative AI Introduction and Applications[Course One]

Lecture 1 Course Preview

Lecture 2 Course Introduction

Lecture 3 Generative AI Fundamentals Specialization Introduction

Lecture 4 Course Overview Instructions

Section 2: Generative AI and Its Capabilities

Lecture 5 Introduction to Generative AI

Lecture 6 History and Evolution of Generative AI Instructions

Lecture 7 Capabilities of Generative AI

Lecture 8 Section Summary

Section 3: Applications and Tools of Generative AI

Lecture 9 Applications of Generative AI

Lecture 10 Tools for Text Generation

Lecture 11 Tools for Image Generation

Lecture 12 Tools for Audio and Video Generation

Lecture 13 Tools for Code Generation

Lecture 14 Section Summary

Section 4: Generative AI Prompt Engineering for Everyone[Course Two]

Lecture 15 Course Introduction

Lecture 16 Course Overview and Instructions

Lecture 17 What is Prompt? (The Concept of Prompt Engineering)

Lecture 18 What is Prompt Engineering?

Lecture 19 Best Practices for Prompt Creation

Lecture 20 Common Prompt Engineering Tools

Lecture 21 Section Summary

Section 5: Prompt Engineering Techniques and Approaches

Lecture 22 Text-to-Text Prompt Techniques

Lecture 23 Interview Pattern Approach

Lecture 24 Chain of Thought Approach

Lecture 25 Tree of Thought Approach

Lecture 26 Text-to-Image Prompt Techniques

Lecture 27 Prompt Hacks

Lecture 28 Section Summary

Lecture 29 Demo: Magic of Adobe Firefly Image Generation

Section 6: Generative AI Foundation Models and Platforms [Course Three]

Lecture 30 Course Introduction

Lecture 31 Course Overview and Instructions

Lecture 32 Deep Learning and LLMs(Core Concepts of Generative AI)

Lecture 33 Generative AI Models

Lecture 34 Foundation Models

Lecture 35 Section Summary

Section 7: Platforms for Generative AI: Pre-trained Models

Lecture 36 Pre-Trained Models: Text-to-Text Generation

Lecture 37 Pre-Trained Models: Text-to-Image Generation

Lecture 38 Pre-Trained Models: Text-to-Code Generation

Lecture 39 IBM Watsonx.ai

Lecture 40 Hugging Face

Lecture 41 Session Summary

Section 8: Generative AI Ethical Considerations and Implications [Course Four]

Lecture 42 Course Introduction

Lecture 43 Course Overview and Instruction

Lecture 44 Limitations of Generative AI

Lecture 45 Issues and Concerns about Generative AI

Lecture 46 Hallucinations of Text and Image Generating LLMs

Lecture 47 Hallucinations of Code Generating LLMs

Lecture 48 AI Portraits and Deepfakes

Lecture 49 Legal Issues and Implications of Generative AI

Lecture 50 Section Summary

Section 9: Social and Economic Impact and Responsible Generative AI

Lecture 51 Considerations for Responsible Generative AI

Lecture 52 Implementing Responsible Generative AI Across Domains

Lecture 53 Generative AI and Corporate Social Responsibility: Instructions

Lecture 54 Economic Implications of Generative AI

Lecture 55 Social Implications of Generative AI

Lecture 56 A Reimagined Workforce with Generative AI

Lecture 57 Section Summary

Section 10: Generative AI Business and Career Growth

Lecture 58 Course Introduction

Lecture 59 Course Overview and Instructions

Lecture 60 Generative AI Trends and Impacts

Lecture 61 Elevating Businesses Through Generative AI

Lecture 62 An Ecosystem of Generative AI Providers

Lecture 63 Impact of Generative AI on Different Industries

Lecture 64 Session Summary

Section 11: Career Opportunities and Enhancements with Generative AI

Lecture 65 Career Opportunities in Generative AI

Lecture 66 Enhancing Your Career with Generative AI

Lecture 67 Generative AI for Content Creators

Lecture 68 Generative AI for IT Professionals

Lecture 69 Generative AI for Leaders and Managers

Lecture 70 Section Summary

Section 12: Generative AI Fundamentals Specialization Wrap Up

Lecture 71 Demo: Creating Custom GPTs

Lecture 72 Farewell and Congrats

Anyone intrigued by the buzz of Generative AI,Aspiring AI/Generative AI Enthusiasts,AI/Tech career seekers,Data science/Data engineer enthusiasts,Innovative thinkers,Business leaders and professionals