ChatGPT & Generative AI for Software Professionals

[Farid]

✅ Chatgpt & Generative Ai For Software Professionals
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.90 GB | Duration: 3h 51m
Master ChatGPT & Generative AI: Propel Your Career with Effective Prompt Engineering & Programming in Generative AI

✅ What you'll learn

ChatGPT : Effective Prompt engineering to improve productivity. Build career - Create resume and prepare for interview. 1000+ Prompts with practical examples

Artificial Intelligence : Basics of AI. Key Concepts of AI, AI/ML Differences, Deep Learning. Real life examples of AI, ML, Deep Learning and Generative AI.

ChatGPT alternatives : Exploring alternative models like Bard and Bing in the context of chat-based AI. Comparing DALL-E 2, DALL-E 3 and Midjourney.

Open AI : Models, APIs, Invoking APIs using Postman, Playground, Tokens, Temperature, Pricing, Usage, Billing. Productivity versus Product development.

Open AI Evolution: Tracing the evolution and milestones of OpenAI and ChatGPT tech stack - Examining the technological stack behind ChatGPT.

Generative AI Internals : GPT (Generative Pre-trained Transformer), Gen AI timeline, Democratization of AI

Jupyter Notebook and Jupyter Lab : Using Jupyter Lab for seamless interaction. Examples of using ChatGPT and other models within a notebook .

Prompt Examples in Notebook : Practical examples of using prompts within Jupyter Notebooks. Tips for effective prompt formulation.

Calculate Token Pricing - Tiktoken : Introduction to Tiktoken. Understanding token pricing and calculating costs for different interactions.

Talk to Your Data - English Lang for SQL: Leveraging generative models for natural language interactions with data.

Hands-on Programs for Open AI models : Whisper, DALL-E 3, and Embeddings.

Advanced Generative AI : Embeddings, Vector DB, Fine-tuning, Zero-shot, One-shot and Few shot learning and RAG (Retrieval-augmented generation).

Real-world Project Implementation : Hands-on project integrating OpenAI models ( ChatGPT, Whisper, Embeddings). Uses RAG and embeddings are plotted in graph.

Generative AI Future : Will AI take away jobs - Addressing the common concern of job displacement by AI and New opportunities - Strategies for professionals

✅ Requirements

Basics of Programming

✅ Description

Welcome to the Comprehensive Course on ChatGPT, Generative AI, and Artificial Intelligence!Are you ready to take your skills to the next level in the exciting realms of ChatGPT, Generative AI, and Artificial Intelligence? Our extensive Udemy course is meticulously crafted to empower you with the knowledge and practical expertise needed to navigate the evolving landscape of AI. Whether you're a seasoned professional or a newcomer eager to explore the wonders of ChatGPT, this course is your gateway to mastering effective prompt engineering, understanding AI fundamentals, and implementing cutting-edge generative models.**ChatGPT: Boosting Productivity with Effective Prompt Engineering**Unlock the secrets of ChatGPT by mastering the art of prompt engineering. Learn how to optimize prompts for maximum productivity, efficiency, and creativity. Dive into practical examples and discover how effective prompt engineering can revolutionize your workflow. Elevate your career by creating impressive resumes and preparing for interviews using ChatGPT's capabilities. With over 1000 prompts and real-world examples, you'll gain hands-on experience in leveraging ChatGPT to enhance your professional journey.**Artificial Intelligence Fundamentals: Building Blocks for Success**Start your journey with a solid foundation in Artificial Intelligence. Explore the basics of AI, key concepts, and the distinctions between AI and Machine Learning. Immerse yourself in the world of Deep Learning with real-life examples showcasing the practical applications of AI, ML, Deep Learning, and Generative AI. This section lays the groundwork for a comprehensive understanding of AI, setting the stage for the advanced topics to follow.**Exploring ChatGPT Alternatives and Diving into DALL-E**Delve into the world of alternative models such as Bard and Bing in the context of chat-based AI. Compare DALL-E 2, DALL-E 3, and Midjourney to understand their unique features and applications. Gain insights into the strengths and limitations of each model, allowing you to make informed decisions based on your project requirements.**OpenAI Deep Dive: Models, APIs, and Postman Integration**Navigate the OpenAI ecosystem with confidence. Understand the intricacies of OpenAI models, APIs, and how to invoke APIs using Postman. Explore the Playground, Tokens, Temperature, Pricing, Usage, and Billing to strike the right balance between productivity and product development. Trace the evolution of OpenAI and unravel the technological stack behind ChatGPT, gaining a holistic understanding of the platform.**Generative AI Internals: Unraveling the Power of Gen AI**Dive deep into the internals of Generative AI. Explore GPT (Generative Pre-trained Transformer). Follow the Gen AI timeline, witnessing the democratization of AI and understanding its impact on industries. Gain insights into how Generative AI is shaping the future of technology.**Jupyter Notebook and Practical Examples: Seamless Interaction**Master the use of Jupyter Lab for seamless interaction with OpenAI models. Explore practical examples of using ChatGPT and other models within a notebook environment. Uncover the secrets of effective prompt formulation, equipping you with the skills to optimize your interactions with generative models.**Token Pricing, SQL Interaction, and Hands-on Programs**Understand token pricing using Tiktoken, ensuring cost-effective interactions with OpenAI models. Leverage generative models for natural language interactions with data using English language queries for SQL. Engage in hands-on programs for OpenAI models like Whisper, DALL-E 3, and Embeddings, gaining practical experience in implementing these powerful tools.**Advanced Generative AI: Embark on a Deeper Journey**Embark on a deeper journey into Advanced Generative AI. Explore embeddings, Vector DB, fine-tuning, zero-shot, one-shot, few-shot learning, and RAG (Retrieval-augmented generation). Gain the expertise needed to navigate the complexities of advanced generative models and apply them to real-world scenarios.**Real-World Project Implementation: Bringing It All Together**Apply your newfound knowledge to a hands-on project that integrates OpenAI models, including ChatGPT, Whisper, and Embeddings. Witness the power of RAG and visualize embeddings through plotted graphs. This real-world implementation solidifies your understanding and prepares you for practical applications in your software development projects.**Generative AI Future: Navigating Challenges and Seizing Opportunities**Address common concerns about job displacement by AI and explore new opportunities in the ever-evolving landscape. Gain strategies for leveraging AI to propel your professional growth. The course concludes with a forward-looking perspective on the future of Generative AI and its potential impact on industries and professions.**Join Us on this AI Adventure: Unlock Your Potential**Enroll now and embark on an exciting adventure into the realms of ChatGPT, Generative AI, and Artificial Intelligence. Whether you're seeking to enhance your career, optimize productivity, or explore the frontiers of AI technology, this course is your comprehensive guide. Dive into the depths of Generative AI, and shape the future of technology with confidence. Let's unlock your potential together!

✅ Overview

Section 1: AI, ML, Deep Learning & Generative AI Introduction

Lecture 1 Introduction to Artificial Intelligence

Lecture 2 Understanding key Concepts in AI

Lecture 3 Deep Learning

Lecture 4 Generative AI

Lecture 5 Traditional AI v/s Generative AI

Lecture 6 GPT (Generative Pre-Trained Transformer)

Section 2: Open AI & ChatGPT History & Tech Stack

Lecture 7 OpenAI & ChatGPT History

Lecture 8 ChatGPT Tech Stack

Lecture 9 Generative AI Timeline

Section 3: ChatGPT Hands-on : Basics of Prompts to End to End Project & Career Development

Lecture 10 ChatGPT Login

Lecture 11 ChatGPT Prompts - Level 0 : Basics of Prompts & identifying ChatGPT limitation

Lecture 12 ChatGPT Prompts - Level 1 : Basic Shell Commands

Lecture 13 ChatGPT Prompts - Level 2 : Advanced Shell Commands

Lecture 14 ChatGPT Prompts - Level 3 : Basic coding and testing

Lecture 15 ChatGPT Prompts - Level 4 : Advance coding exercise

Lecture 16 ChatGPT Prompts - Level 5 : End to End Project executions

Lecture 17 ChatGPT Prompts - Level 6 : Career Development

Section 4: Exploring DALL-E, Bard, Bing and MidJourney

Lecture 18 DALL-E

Lecture 19 MidJourney

Lecture 20 Bard & Bing

Lecture 21 Prompt Engineering

Section 5: Open AI Models, Tokens, APIs, Billing, API access with Playground and Postman

Lecture 22 OpenAI Documentation

Lecture 23 OpenAI Tokens

Lecture 24 OpenAI API Registration

Lecture 25 OpenAI Usage & Limits

Lecture 26 OpenAI API Billing & Pricing

Lecture 27 OpenAI Playground

Lecture 28 Accessing Open AI API's through Postman

Section 6: OpenAI Key Concepts - Access options, Models, Pricing, Productivity and Product

Lecture 29 OpenAI Access options

Lecture 30 OpenAI models Pricing - ChatGPT 3.5, ChatGPT 4 & Embeddings

Lecture 31 Understanding Tokens and Temperature

Lecture 32 ChatGPT Access - UI versus API

Section 7: Hands-on Programs of OpenAI models - ChatGPT, DALL-E, Whisper & Embeddings

Lecture 33 Jupyter Lab and Notebook usage

Lecture 34 Accessing OpenAI APIs Programmatically

Lecture 35 Tiktoken - Calculating number of Tokens and cost Programmatically

Lecture 36 Talk to your data with power of Generative AI

Lecture 37 OpenAI Whisper - Convert Speech to text

Lecture 38 OpenAI DALL-E- Generate Image from text

Lecture 39 OpenAI Embeddings - text-embedding-ada-002

Section 8: Gen AI - Advance Topics - Embeddings, Vector DB, Fine Tuning, RAG & Few-shot

Lecture 40 Embedding Concepts

Lecture 41 Vector Database

Lecture 42 Generative AI Model training

Lecture 43 Fine Tuning Generative AI model

Lecture 44 RAG (Retrieval-augmented generation)

Lecture 45 Zero-Shot, One-Shot and Few shot learning

Section 9: Real life End2End Project using ChatGPT, Whisper & Embeddings with RAG & Graphs

Lecture 46 Final Project use case

Lecture 47 Understanding Data and Data Preperation

Lecture 48 Generating Embeddings for user interaction

Lecture 49 Plotting Embeddings in a graph

Lecture 50 Capturing user interaction using Whisper

Lecture 51 Search User interaction in Embeddings

Lecture 52 Final Execution of end to end flow

Section 10: AI Future and Impact - Democratization of AI, Impact on Jobs and opportunities

Lecture 53 Democratization of AI with Generative AI

Lecture 54 Impact on jobs with Generative AI

Lecture 55 New opportunities that arise with Generative AI

Software Professionals

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✅ ChatGPT & Generative AI for Software Professionals (1.69 GB)

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