Generative AI with Google - Bard, PaLM API and Google Cloud

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in28Minutes Official

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1 - Introduction

1 - Generative AI with Google Course Introduction.mp4

06:09

2 - DO NOT SKIP Course Downloads.html

2 - Getting Started with Google Bard

3 - Step 01 What is Artificial Intelligence.mp4

04:43

4 - Step 02 Playing with Bard Getting Started.mp4

07:22

5 - Step 03 Playing with Bard Coding Learning and Design.mp4

07:53

6 - Step 04 Playing with Bard Exploring Technology.mp4

04:51

7 - Step 05 Playing with Bard Generating Ideas.mp4

04:14

8 - Step 06 Generative AI is NOT Deterministic.mp4

00:52

3 - Getting Started AI vs ML vs Generative AI

9 - Step 01 Getting Started AI vs ML vs Generative AI.mp4

01:50

10 - Step 02 Understanding Machine Learning vs Traditional Programming.mp4

04:38

11 - Step 03 Understanding Machine Learning Fundamentals Features and Labels.mp4

07:47

12 - Step 04 Understanding Machine Learning Fundamentals Steps and Terminology.mp4

08:51

13 - Step 05 The AI Turmoil My View Point.mp4

01:54

4 - Exploring Generative AI Fundamentals

14 - Step 01 What is Generative AI.mp4

03:53

15 - Step 02 Generative AI Needs Huge Volumes of Data.mp4

02:34

16 - Step 03 Generative AI Uses Self Supervised Learning.mp4

05:27

17 - Step 04 Key Step In Generative AI For Text Predicting Next Word.mp4

03:28

18 - Step 05 Generative AI Text Uses Tokens instead of Words.mp4

04:14

19 - Step 06 Exploring Predictive Machine Learning vs Generative AI.mp4

02:13

5 - ML in Google Cloud An Overview

20 - Step 01 ML in Google Cloud Traditional Landscape.mp4

02:41

21 - Step 02 ML in Google Cloud 1 Using Machine Learning API.mp4

08:20

22 - Step 03 ML in Google Cloud 2 Custom Models without ML expertise.mp4

02:32

23 - Step 04 ML in Google Cloud 3 Build Complex Custom Models.mp4

01:24

24 - Step 05 Creating GCP Google Cloud Platform Account.mp4

02:21

25 - Downloads We will use the cloud images in Next Step.html

26 - Step 06 ML in Google Cloud Quick Demo.mp4

12:42

6 - Generative AI with Google and Google Cloud Quick Overview

27 - Step 01 Generative AI with Google and Google Cloud Quick Overview.mp4

06:30

28 - Step 02 Exploring Generative AI Foundation Models.mp4

02:31

29 - Downloads We will use generate ai studio gen ai prompts file in next step.html

30 - Step 03 Exploring Text Features Summarization.mp4

06:52

31 - Step 04 Exploring Text Features Classification.mp4

05:21

32 - Step 05 Exploring Text Features Extraction.mp4

05:55

33 - Step 06 Exploring Text Features Ideation.mp4

02:14

7 - Getting Started with Prompt Design

34 - Step 01 Getting Started with Prompt Design.mp4

04:57

35 - Step 02 Giving Examples ZERO SHOT vs ONE SHOT vs MANY SHOT.mp4

05:11

36 - Step 03 Exploring Prompt Frameworks RTF CTF and RASCEF.mp4

06:29

37 - Step 04 Experiment with Parameters.mp4

05:28

8 - Exploring Vertex AI PaLM API and Generative AI Studio Further

38 - Step 00 Executing Vertex AI PaLM API from Vertex AI Workbench.mp4

02:21

39 - Step 01 Exploring Vertex AI PaLM API Text Model API.mp4

09:46

40 - Step 02 Exploring Chat Model.mp4

09:29

41 - Step 03 Exploring Code Models.mp4

10:27

42 - Step 04 Exploring Image Models.mp4

03:09

43 - Step 05 Exploring Speech Models.mp4

02:43

44 - Step 06 Cloud Best Practice Stop Unused Resources User Managed Notebook.mp4

01:14

9 - Exploring Generative AI Further

45 - Step 01 Tuning Language Models.mp4

04:15

46 - Step 02 What are Embeddings.mp4

04:23

47 - Downloads We will use generative ai studio notebooks in the next step.html

48 - Step 03 Exploring Embeddings with an Example.mp4

13:20

49 - Step 04 Getting Started with LangChain.mp4

03:39

50 - Step 05 Understanding LangChain Fundamentals.mp4

13:54

51 - Step 06 Exploring LangChain Answering Questions from a Long Article.mp4

12:58

52 - Step 07 Exploring LangChain Summarization.mp4

04:03

53 - Step 08 Executing Vertex AI PaLM API From Colab.mp4

02:31

10 - Exploring Other Google Generative AI Offerings

54 - Step 00 Generative AI App Builder is NOT GA yet.mp4

01:01

55 - Step 01 Getting Started Generative AI App Builder.mp4

02:39

56 - Step 02 00 MakerSuite and PaLM API are NOT GA yet.mp4

00:39

57 - Step 02 01 Getting Started PaLM API and MakerSuite.mp4

10:57

58 - Step 03 Cloud Best Practice Delete Unused Resources User Managed Notebook.mp4

00:44

11 - Google AI Principles and Responsible AI practices

59 - Google AI Principles and Responsible AI practices.mp4

07:27

12 - Generative AI with Google Congratulations

60 - Generative AI with Google Congratulations.mp4

01:24

61 - Bonus Lecture.html

Description

Start your Generative AI journey today with Google Bard, PaLM API & Google Cloud Generative AI Studio

What You'll Learn?

Understand the basics of Generative AI
Learn about the different types of Generative AI
Understand how Generative AI works
Apply Generative AI to real-world problems
Learn how to use Google's Bard, PaLM API, and Google Cloud to create Generative AI content

Who is this for?

Anyone interested in learning about Generative AI

What You Need to Know?

Some experience with programming is suggested

More details

Description
I'm here to help you learn Generative AIÂ Fundamentals!
Do you think learning Generative AI is DIFFICULT?Â 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 services - Bard, PALM API, Generative AI Studio, MakerSuite 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 AIÂ with Google technologies?
Do you want to join more than 1 MILLION learners having Amazing Learning Experiences with in28Minutes?
Join Now!
Who this course is for:
Anyone interested in learning about Generative AI

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Ranga Karanam, the founder of in28minutes, has 2 decades of experience with technology - architecture, design, and programming. We are helping learners take their first steps into modern cloud native technology and gain expertise on AWS, Azure, Google Cloud, Docker, Kubernetes amongst others.Our happiest moments are when learners tag us on LinkedIn or reach out to us with their stories of getting their first job, getting a promotion, or a big raise.----------------------Ranga is multi-cloud certified - Google Cloud Certified Professional Cloud Architect, AWS Certified Solutions Architect Associate, Google Cloud Certified Associate Cloud Engineer, AWS Certified Developer Associate, AWS Certified Cloud Practitioner, Azure Fundamentals Certified AZ-900, DP-900 and AI-900.Our courses are focused on Cloud Certifications (AWS, Azure, Google Cloud Platform - GCP), DevOps, Full Stack ( React, Angular ), Serverless, Programming, and Microservice Development with Java and Spring Boot.Our Top Courses include:1) Master Microservices with Spring Boot and Spring Cloud2) Java Programming for Complete Beginners3) Google Cloud Certification - Associate Cloud Engineer - 20214) DevOps For Beginners - Docker, Kubernetes, and Azure DevOps5) Spring Framework Master Class - Java Spring the Modern Way6) Master Java Web Services and RESTful API with Spring Boot7) Go Serverless with AWS Lambda and Azure FunctionsWe have courses focused on Java Frameworks ( Spring, Spring Boot, Spring MVC, Hibernate ). [LEARNING PATHS 00 to 06 for DevOps, Full Stack, Cloud, Spring Boot and Java in the FAQ below]We use Problem-Solution based Step-By-Step Hands-on Approach With Practical, Real-World Application Examples.We have a wide range of courses focused on Spring Boot - Creating APIs and Microservices, Deploying to Cloud ( AWS, Azure, Docker, Kubernetes, Azure ), and Integrating with Full Stack Front end frameworks ( React & Angular ).[LEARNING PATHS][LEARNING PATH 00] - DevOps Master DevOps with Docker, Kubernetes and Azure DevOps[LEARNING PATH 01] - Spring and Spring Boot Web Applications & API DeveloperSpring Framework Master Class - Learn Spring the Modern Way!Learn Spring Boot in 100 Steps - Beginner to ExpertMaster Java Web Services and RESTful API with Spring BootMaster Hibernate and JPA with Spring Boot in 100 StepsMaster Java Unit Testing with Spring Boot & Mockito[LEARNING PATH 02] - Full Stack Developer with Spring Boot, React and AngularGo Java Full Stack with Spring Boot and ReactGo Java Full Stack with Spring Boot and Angular[LEARNING PATH 03] - Cloud Microservices with Spring Boot, Docker & KubernetesMaster Microservices with Spring Boot and Spring CloudMaster Docker with Java - DevOps for Spring MicroservicesMaster Kubernetes with Docker on Google Cloud, AWS & Azure[LEARNING PATH 04] - Cloud Developer with Spring Boot, AWS, Azure, and PCFLearn AWS - Deploy Java Spring Boot to AWS Elastic BeanstalkMaster Azure Web Apps - Take Java Spring Boot Apps to AzureMaster Pivotal Cloud Foundry with Spring Boot Microservices[LEARNING PATH 05] - Learn AWS with Microservices, Docker, and KubernetesLearn AWS - Deploy Java Spring Boot to AWS Elastic BeanstalkMaster AWS Fargate & ECS with Java Spring Boot MicroservicesMaster Kubernetes with Docker on Google Cloud, AWS & Azure[LEARNING PATH 06] - GET AWS CERTIFIEDAWS Certified Cloud Practitioner - Step By StepAWS Certified Developer Associate - Step By StepAWS Certified Solutions Architect Associate - Step By Step[OUR BELIEFS]Best Courses are interactive and fun.Foundations for building high-quality applications are best laid down while learning.[OUR APPROACH]We use the 80-20 Rule. We discuss 20% of things used 80% of the time in depth. We touch upon other things briefly equipping you with enough knowledge to find out more on your own.Problem Solution based Step by Step Hands-on Learning.

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