Generative AI For Beginners with ChatGPT and OpenAI API from Udemy

I'm here to help you learn Generative AI Fundamentals.

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BEGINNERS to cloud, AI and ML are WELCOME.

5 Things YOU need to know about this Generative AI Course

#1: HANDS-ON - The best way to learn Generative AI Fundamentals is to get your hands dirty.

#2: Designed for It is the ability of machines to create new content, such as images, text, and music, that is indistinguishable from human-created content. As this domain gains momentum, its potential applications are boundless.

A number of developers think that understanding and making use of Generative AI needs in-depth knowledge of AI and ML. But guess what? That couldn't be further from the truth.

I'm Ranga Karanam. I'm the founder of in28minutes and creator of some of the worlds most popular courses on Cloud and DevOps. I've helped more than a million learners around the world acquire new tech skills.

In this course, we will break down the misconception that Generative AI is difficult and guide you through the journey of embracing Generative AI with confidence.

I'm a great believer that the best way to learn is by doing and we designed this course to be hands-on. You will play with a number of Generative AI tools and services - ChatGPT, OpenAI API and a lot more. You will also understand the fundamentals of AI, ML and how Generative AI fits into the AI/ML world.

By the end of the course, you will NOT only understand how to become more productive using Generative AI but also understand how to make integrate Generative AI into your applications.

While some programming knowledge is beneficial, no prior experience in generative AI is necessary.

Are you ready to get started on the amazing journey to learn Generative AI?

Do you want to join more than 1 MILLION learners having Amazing Learning Experiences with in28Minutes?

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What's inside

Learning objectives

Learn how to use chatgpt and openai api
Understand the basics of generative ai

Learn about the different types of generative ai
Understand how generative ai works

Learn how to use chatgpt and openai api
Understand the basics of generative ai
Learn about the different types of generative ai
Understand how generative ai works

Syllabus

Generative AI with ChatGPT and OpenAI - Course Introduction

DO NOT SKIP - Course Downloads

Playing with ChatGPT

Step 01 What is Artificial Intelligence?

Step 02 Playing with ChatGPT - Getting Started

ChatGPT might not always be available

Step 03 Playing with ChatGPT - Coding, Learning and Design

Step 04 Playing with ChatGPT - Exploring Technology

Step 05 Playing with ChatGPT - Generating Ideas

Step 06 Generative AI is NOT Deterministic

Section Quiz

Getting Started - AI vs ML vs Generative AI

Step 01 Getting Started - AI vs ML vs Generative AI

Step 02 Understanding Machine Learning vs Traditional Programming

Step 03 Understanding Machine Learning Fundamentals - Features and Labels

Step 04 Understanding Machine Learning Fundamentals - Steps and Terminology

Step 05 The AI Turmoil - My View Point

Exploring Generative AI with ChatGPT

Step 01 What is Generative AI?

Step 02 Generative AI - Needs Huge Volumes of Data

Step 03 Generative AI - Uses Self Supervised Learning

Step 04 Key Step In Generative AI For Text - Predicting Next Word

Step 05 Generative AI Text - Uses Tokens instead of Words

Step 06 Generative AI Text Training - ChatGPT Uses SFT

Step 07 Generative AI Text Training - ChatGPT Uses RLHF

Step 08 Exploring Predictive Machine Learning vs Generative AI

Understanding Generative AI Landscape

Step 01 Exploring Generative AI Terminology - Foundation Models and LLMs

Step 02 Exploring Generative AI Landscape

Exploring OpenAI Playground

Step 01 Getting Started with OpenAI Playground

Downloads - We will use gen-ai-prompts.md in next step

Step 02 Exploring Text Features - Summarization

Step 03 Exploring Text Features - Classification

Step 04 Exploring Text Features - Extraction and Writing

Step 05 Exploring Text Features - Ideation

Exploring Prompt Design

Step 01 Getting Started with Prompt Design

Step 02 Prompt Design - Things to Try - An Exercise

Step 03 Giving Examples - ZERO SHOT vs ONE SHOT vs MANY SHOT

Step 04 Exploring Prompt Frameworks - RTF, CTF and RASCEF

Step 05 Experiment with Parameters

Exploring Open AI API

Step 01 Getting Started with OpenAI API

Step 02 Understanding Pricing of OpenAI APIs

We will be using Downloaded Notebooks in the Next Lecture

Step 03 Exploring Open AI API - Basic Prompting

Step 04 Exploring Open AI API - Response Example

Step 05 Exploring Open AI API - Prompts With Examples

Step 06 Exploring Open AI API - Chat API

Step 07 Exploring Open AI API - Image & Audio Examples

Exploring Generative AI with OpenAI and ChatGPT further

We will be using downloaded notebooks in the next lecture

Step 01 Tuning Language Models

Step 02 What are Embeddings?

Step 03 Exploring Embeddings with an Example

Step 04 Getting Started with LangChain

Step 05 Understanding LangChain Fundamentals

Step 06 Exploring LangChain - Answering Questions from a Long Article

Step 07 Exploring LangChain - Summarization

Step 08 Understanding LangChain Chaining

Exploring ChatGPT Plus Features

Step 01 Exploring ChatGPT Plans

Step 02 Getting Started with ChatGPT Plugins

Step 03 Exploring ChatGPT Plugins

Step 04 Exploring ChatGPT Advanced Data Analysis

Generative AI with ChatGPT and OpenAI API - Congratulations

Step 01 Generative AI with ChatGPT and OpenAI - Congratulations

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a breakdown of potential misconceptions, promoting approachable learning

Targets a wide audience with varying levels of AI expertise

Emphasis on project-based learning and practical application

Demostrates real-world use cases of Generative AI

Incorporates interactive elements, such as hands-on exercises and chatbot interactions

May benefit students seeking a comprehensive introduction to Generative AI fundamentals

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI For Beginners with ChatGPT and OpenAI API with these activities:

Review previous knowledge on AI and Machine Learning

Show steps

Solidify your foundation in AI and Machine Learning to support your understanding of Generative AI.

Browse courses on AI

Show steps

Identify key concepts and techniques in AI and Machine Learning
Review textbooks, online resources, or previous course materials
Complete practice exercises or quizzes to test your understanding

Organize course materials and notes

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Improve your retention by organizing and reviewing course materials and notes.

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Gather all course materials, including lecture notes, slides, and assignments
Create a system for organizing and storing the materials
Review the materials regularly to reinforce your understanding

Read 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

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Gain a comprehensive understanding of deep learning, a fundamental foundation for Generative AI.

View Deep Learning on Amazon

Show steps

Read the book thoroughly, focusing on chapters related to Generative AI
Take notes and highlight key concepts
Complete the exercises and assignments in the book

Six other activities

Expand to see all activities and additional details

Show all nine activities

Join a study group or online forum

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Enhance your understanding through discussions and collaboration with peers.

Browse courses on Generative AI

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Find a study group or online forum focused on Generative AI
Participate in discussions and ask questions
Share your knowledge and insights with others

Explore Generative AI with Hugging Face

Show steps

Follow tutorials on Hugging Face to gain hands-on experience with Generative AI models and techniques, enhancing your understanding of their capabilities.

Browse courses on Hugging Face

Show steps

Visit the Hugging Face website
Browse their tutorials and documentation
Select a tutorial that aligns with your interests
Follow the tutorial steps and experiment with the code
Explore additional tutorials to deepen your knowledge

Practice on Generative AI code examples

Show steps

Improve your understanding of Generative AI concepts by working through code examples.

Browse courses on Generative AI

Show steps

Find code examples related to Generative AI
Run the code examples and experiment with different parameters
Analyze the results and compare them to your expectations

Practice with Generative AI tools

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Develop proficiency in using Generative AI tools to enhance your skills.

Browse courses on Generative AI

Show steps

Identify different Generative AI tools available, such as OpenAI's GPT-3 or Google's Imagen
Experiment with the tools by generating text, images, or other content
Explore the capabilities and limitations of each tool

Build a Generative AI App with Streamlit

Show steps

Creating a Generative AI app using Streamlit will provide you with practical experience in implementing these models, solidifying your understanding of their functionalities.

Browse courses on Streamlit

Show steps

Install Streamlit
Create a new Streamlit app
Integrate a Generative AI model into your app
Design the user interface
Deploy your app

Follow tutorials on advanced Generative AI techniques

Show steps

Expand your knowledge of Generative AI by exploring advanced techniques through guided tutorials.

Browse courses on Generative AI

Show steps

Identify specific advanced Generative AI techniques you want to learn
Find reputable tutorials or courses covering those techniques
Follow the tutorials step-by-step and complete the exercises
Experiment with the techniques on your own projects

Career center

Learners who complete Generative AI For Beginners with ChatGPT and OpenAI API will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

A Computer Vision Engineer designs, develops, and maintains computer vision systems. This course may be useful for a Computer Vision Engineer who wants to build a foundation in generative AI to enhance their ability to develop and implement computer vision solutions.

See salaries and explore the career path for Computer Vision Engineer

Natural Language Processing Engineer

A Natural Language Processing Engineer designs, develops, and maintains natural language processing systems. This course may be useful for a Natural Language Processing Engineer who wants to build a foundation in generative AI to enhance their ability to develop and implement NLP solutions.

See salaries and explore the career path for Natural Language Processing Engineer

Artificial Intelligence Engineer

An Artificial Intelligence Engineer designs, develops, and maintains artificial intelligence systems. This course may be useful for an Artificial Intelligence Engineer who wants to build a foundation in generative AI to enhance their ability to develop and implement AI solutions.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

A Machine Learning Engineer focuses on developing and implementing machine learning models and algorithms. This course may be useful for a Machine Learning Engineer who wants to build a foundation in generative AI to enhance their ability to develop and implement machine learning solutions.

See salaries and explore the career path for Machine Learning Engineer

Robotics Engineer

A Robotics Engineer designs, develops, and maintains robots. This course may be useful for a Robotics Engineer who wants to build a foundation in generative AI to enhance their ability to develop and implement robotics solutions.

See salaries and explore the career path for Robotics Engineer

Content Writer

A Content Writer works to create and edit written content. This course may be useful for a Content Writer who wants to build a foundation in generative AI to enhance their ability to create and edit written content that leverages AI.

See salaries and explore the career path for Content Writer

Business Analyst

A Business Analyst works to identify and analyze business needs and develop solutions to improve business processes and operations. This course may be useful for a Business Analyst who wants to build a foundation in generative AI to enhance their ability to analyze business needs and develop solutions.

See salaries and explore the career path for Business Analyst

Software Engineer

A Software Engineer works to design, develop, test, deploy, and maintain software systems. This course may be useful for a Software Engineer who wants to build a foundation in generative AI to enhance their software development capabilities.

See salaries and explore the career path for Software Engineer

Technical Writer

A Technical Writer works to create and edit technical documentation. This course may be useful for a Technical Writer who wants to build a foundation in generative AI to enhance their ability to create and edit technical documentation that leverages AI.

See salaries and explore the career path for Technical Writer

UX Designer

A UX Designer works to design and develop user interfaces and experiences. This course may be useful for a UX Designer who wants to build a foundation in generative AI to enhance their ability to design and develop user interfaces and experiences that leverage AI.

See salaries and explore the career path for UX Designer

Product Manager

A Product Manager works to define, develop, and manage products. This course may be useful for a Product Manager who wants to build a foundation in generative AI to enhance their ability to define, develop, and manage products that leverage AI.

See salaries and explore the career path for Product Manager

Data Analyst

A Data Analyst collects, analyzes, and interprets data to provide insights and recommendations. This course may be useful for a Data Analyst who wants to build a foundation in generative AI to enhance their ability to analyze and interpret data.

See salaries and explore the career path for Data Analyst

UI Designer

A UI Designer works to design and develop user interfaces. This course may be useful for a UI Designer who wants to build a foundation in generative AI to enhance their ability to design and develop user interfaces that leverage AI.

See salaries and explore the career path for UI Designer

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for a Data Scientist who wants to build a foundation in generative AI to enhance their ability to analyze and interpret data.

See salaries and explore the career path for Data Scientist

Project Manager

A Project Manager works to plan, execute, and close projects. This course may be useful for a Project Manager who wants to build a foundation in generative AI to enhance their ability to plan, execute, and close projects that leverage AI.

See salaries and explore the career path for Project Manager