English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 58 lectures (4h 50m) | 2.05 GB
Start your Generative AI journey today with ChatGPT and OpenAI API
I’m here to help you learn Generative AI Fundamentals!
Do you think learning Generative AI is DIFFICULT? What if I can prove you WRONG?
Learn Generative AI, AI and ML Fundamentals in a WEEKEND!
Take your FIRST STEPS into the amazing world of Generative AI, Artificial Intelligence and Machine Learning using a HANDS-ON step by step approach.
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 ABSOLUTE BEGINNERS
3: MULTI-CLOUD INSTRUCTOR – MORE THAN 100,000 Learners are learning AWS, Azure, and Google Cloud with us
4: FREE Downloadable PDF
5: 5 FREE Downloadable Python Notebook Examples
Generative AI is the future of artificial intelligence. 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.
What you’ll learn
- Learn how to use ChatGPT and OpenAI API
- Understand the basics of Generative AI
- Learn about the different types of Generative AI
Table of Contents
Generative AI with ChatGPT and OpenAI – Course Introduction
1 Generative AI with ChatGPT and OpenAI – Course Introduction
2 DO NOT SKIP – Course Downloads
Playing with ChatGPT
3 Step 01 What is Artificial Intelligence
5 Step 02 Playing with ChatGPT – Getting Started
6 Step 03 Playing with ChatGPT – Coding, Learning and Design
7 Step 04 Playing with ChatGPT – Exploring Technology
8 Step 05 Playing with ChatGPT – Generating Ideas
9 Step 06 Generative AI is NOT Deterministic
Getting Started – AI vs ML vs Generative AI
10 Step 01 Getting Started – AI vs ML vs Generative AI
11 Step 02 Understanding Machine Learning vs Traditional Programming
12 Step 03 Understanding Machine Learning Fundamentals – Features and Labels
13 Step 04 Understanding Machine Learning Fundamentals – Steps and Terminology
14 Step 05 The AI Turmoil – My View Point
Exploring Generative AI with ChatGPT
15 Step 01 What is Generative AI
16 Step 02 Generative AI – Needs Huge Volumes of Data
17 Step 03 Generative AI – Uses Self Supervised Learning
18 Step 04 Key Step In Generative AI For Text – Predicting Next Word
19 Step 05 Generative AI Text – Uses Tokens instead of Words
20 Step 06 Generative AI Text Training – ChatGPT Uses SFT
21 Step 07 Generative AI Text Training – ChatGPT Uses RLHF
22 Step 08 Exploring Predictive Machine Learning vs Generative AI
Understanding Generative AI Landscape
23 Step 01 Exploring Generative AI Terminology – Foundation Models and LLMs
24 Step 02 Exploring Generative AI Landscape
Exploring OpenAI Playground
25 Step 01 Getting Started with OpenAI Playground
26 Downloads – We will use gen-ai-prompts.md in next step
27 Step 02 Exploring Text Features – Summarization
28 Step 03 Exploring Text Features – Classification
29 Step 04 Exploring Text Features – Extraction and Writing
30 Step 05 Exploring Text Features – Ideation
Exploring Prompt Design
31 Step 01 Getting Started with Prompt Design
32 Step 02 Prompt Design – Things to Try – An Exercise
33 Step 03 Giving Examples – ZERO SHOT vs ONE SHOT vs MANY SHOT
34 Step 04 Exploring Prompt Frameworks – RTF, CTF and RASCEF
35 Step 05 Experiment with Parameters
Exploring Open AI API
36 Step 01 Getting Started with OpenAI API
37 Step 02 Understanding Pricing of OpenAI APIs
38 We will be using Downloaded Notebooks in the Next Lecture
39 Step 03 Exploring Open AI API – Basic Prompting
40 Step 04 Exploring Open AI API – Response Example
41 Step 05 Exploring Open AI API – Prompts With Examples
42 Step 06 Exploring Open AI API – Chat API
43 Step 07 Exploring Open AI API – Image & Audio Examples
Exploring Generative AI with OpenAI and ChatGPT further
44 We will be using downloaded notebooks in the next lecture
45 Step 01 Tuning Language Models
46 Step 02 What are Embeddings
47 Step 03 Exploring Embeddings with an Example
48 Step 04 Getting Started with LangChain
49 Step 05 Understanding LangChain Fundamentals
50 Step 06 Exploring LangChain – Answering Questions from a Long Article
51 Step 07 Exploring LangChain – Summarization
52 Step 08 Understanding LangChain Chaining
Exploring ChatGPT Plus Features
53 Step 01 Exploring ChatGPT Plans
54 Step 02 Getting Started with ChatGPT Plugins
55 Step 03 Exploring ChatGPT Plugins
56 Step 04 Exploring ChatGPT Advanced Data Analysis
Generative AI with ChatGPT and OpenAI API – Congratulations
57 Step 01 Generative AI with ChatGPT and OpenAI – Congratulations
58 Bonus Lecture
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