Mastering Spring AI : Build AI with Java

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Pritesh Mistry

8:29:44

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1 - Introduction

1 - Introduction.mp4

00:41

2 - Basic Concept of AI

2 - Artificial Intelligence AI overview.mp4

02:36

3 - AI Model.mp4

03:03

4 - GPT Generative Pretrained Transformer.mp4

03:54

3 - Working with Open AI API

5 - Working WIth Open AI.mp4

00:36

6 - Sign up for Open AI Account.mp4

00:59

7 - Add Billing Information.mp4

01:10

8 - Generate API Keys.mp4

00:59

9 - Spring boot hello world with Open AI.mp4

09:40

9 - openai-api-demo.zip

10 - Explanation of the flow.html

11 - Understanding ChatResponse object.mp4

09:59

11 - openai-api-demo-chatresponse.zip

12 - Create model service and controllers.mp4

06:19

12 - openai-api-demo-recipe.zip

13 - Prompts and Prompt Template.mp4

03:45

14 - Prompt Template Example.mp4

06:38

14 - openai-api-demo-prompt-template1.zip

15 - Resource Template Example.mp4

06:19

4 - Spring AI Structured Output

16 - Generating Structured Output.mp4

01:38

17 - Structured Output example with List and Map.mp4

07:16

18 - Structured Output example with Object.mp4

06:33

18 - springboot-structureed-output-demo.zip

5 - RAG RetrievalAugmented Generation

19 - Vector Store in AI.mp4

07:36

20 - Vector storevector database and Embeddings.mp4

02:51

21 - RAG Example.mp4

14:32

22 - PGVector example.mp4

24:55

22 - springai-pgvector-insert.zip

22 - springai-pgvector-retrival.zip

23 - Croma db example for similarity search.mp4

11:26

23 - springai-cromadb-demo.zip

24 - Redis Vector db with spring ai.mp4

16:35

24 - springai-redis-vector-demo.zip

25 - MongoDB Atlas Vector Search.mp4

19:46

25 - pspringai-mongodb-vector-demo.zip

26 - Cassandra Vector Search Example.mp4

14:33

27 - Neo4j Vector Search Example.mp4

15:05

27 - springai-neo4j-vector-search-demo.zip

28 - Oracle Vector Search Example.mp4

15:07

28 - springai-oracle-vector-search-demo.zip

29 - Milvus Vector Search Example.mp4

09:57

29 - springai-milvus-vector-search-demo.zip

30 - Typesense Vector Search Example.mp4

09:32

30 - springai-typesense-vector-search-demo.zip

31 - Weaviate Vector Search Example.mp4

09:42

31 - spring-weaviate-vector-search-demo.zip

32 - Qdrant Vector Search Example.mp4

12:21

32 - springai-qdrant-vector-search-demo.zip

33 - Opensearch Vector Search Example.mp4

16:54

33 - springai-opensearch-vector-search-demo.zip

6 - Function calling in Spring AI

34 - Function calling in Spring AI.mp4

01:23

35 - Function Calling example using OpenAI.mp4

12:26

35 - springai-openai-functioncalling-example.zip

7 - Image generation and audio text to speech and speech to text

36 - Image Generation API using Spring AI.mp4

04:07

37 - Generating image using Spring AI.mp4

11:01

38 - Text to Speech example using Spring AI.mp4

05:44

39 - Text to Speech properties.mp4

05:28

40 - Text to Speech Steaming audio.mp4

08:34

40 - springai-openai-tts-demo001.zip

41 - Speech to Text Transcription API.mp4

08:36

41 - springai-openai-transcription-demo.zip

8 - Running LLM locally

42 - Install Ollama for Windows.mp4

07:05

43 - Install Ollama for Unix ubuntu.mp4

07:18

44 - Ollama Spring Boot demo.mp4

08:09

45 - LM Studio for running local LLM.mp4

05:53

46 - LM Studio example with spring boot.mp4

09:16

46 - springbootai-exaamples.zip

47 - Other AI Providers.mp4

01:10

9 - Other LLM Provider example

48 - Azure open ai example.mp4

10:29

48 - springai-azureopenai-demo.zip

49 - Amazon Bedrock setup and example.mp4

10:55

49 - springai-amazonbedrock-demo.zip

50 - Mistral AI Example.mp4

08:35

50 - springai-mistralai-demo.zip

51 - Google Vertex Gemini setup and example.mp4

10:10

51 - springai-google-vertex-gemini001.zip

10 - Observability in Spring AI

52 - Observability example in Spring AI.mp4

09:09

53 - Tracing using zipkin.mp4

04:16

53 - springai-observability-demo.zip

11 - ETL Pipeline

54 - ETL Pipeline Overview.mp4

02:05

55 - Document class.mp4

02:11

56 - ETL Pipeline demo.mp4

14:39

56 - SpirngAI-etl-pipeline.zip

57 - Metadata enrichment.mp4

03:09

58 - Metadata Enrichment example.mp4

06:26

58 - springai-etl-pipeline-demo.zip

59 - ETL PDF Reader example.mp4

06:19

59 - SpirngAI-etl-pipeline.zip

60 - ETL JSON Reader example.mp4

10:19

60 - SpirngAI-etl-pipeline.zip

61 - ETL Markdown Reader example.mp4

08:41

61 - SpirngAI-etl-pipeline.zip

12 - Best practices to store secret or api keys

62 - Storing secret.mp4

03:29

63 - Storing key in Google Secret Manager.mp4

08:40

63 - spring-gcp-secret-openai-key-demo.zip

64 - Storying key in AWS Secret Manager.mp4

11:16

65 - Storing key in Azure Key Vault.mp4

08:58

13 - Thank You

66 - Thank you.mp4

00:51

Description

Harness the Power of AI to Transform Your Java Applications

What You'll Learn?

Gain a deep understanding of integrating AI functionalities with Spring Boot applications.
Learn how to utilize Spring AI to build intelligent, responsive systems using AI and machine learning.
Develop practical skills in implementing and deploying AI models within Spring-based projects.
Explore advanced techniques for enhancing application performance and user experience through AI-powered features

Who is this for?

Beginners to learn Spring AI

What You Need to Know?

For the Mastering Spring AI course, the requirements or prerequisites are: Basic Understanding of Java: Familiarity with Java programming language and object-oriented principles. Experience with Spring Framework: Prior experience with Spring Boot and core Spring concepts. Knowledge of AI Concepts: Basic understanding of AI and machine learning concepts. Development Environment Setup: Ability to set up a Java development environment and tools for coding and testing.

More details

Description
Mastering Spring AI
Course Description
Dive into the cutting-edge world of AI integration with Spring Boot in this comprehensive course, â€œMastering Spring AIâ€. Perfect for Java developers looking to enhance their applications with powerful AI capabilities, this course will guide you through the process of seamlessly incorporating artificial intelligence into your Spring projects.
What Youâ€™ll Learn:
Spring AI Fundamentals: Understand the core concepts of Spring AI and its integration with Spring Boot.
AI Model Integration: Learn to integrate and work with various AI models, including language models and image generation tools.
Image Processing and Generation: Explore image-related AI tasks within your Spring applications.
Vector Databases: Learn to use vector databases for efficient AI data storage and retrieval.
AI-Powered Search: Implement advanced search functionalities using AI techniques.
Prompt Engineering: Master the art of crafting effective prompts for optimal AI model responses.
Prerequisites:
Basic knowledge of Java and Spring Boot
Familiarity with RESTful API development
Understanding of basic AI concepts (helpful but not required)
Who This Course is For:
Java developers looking to integrate AI into their applications
Spring Boot enthusiasts interested in expanding their skillset
Software engineers aiming to stay current with AI trends in application development
Embark on this exciting journey to master Spring AI and transform your Spring applications with the power of artificial intelligence!
Who this course is for:
Beginners to learn Spring AI

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Artificial Intelligence

Pritesh Mistry

Instructor's Courses

My Name is Pritesh mistry and I have completed my masters in computer application in 2005. I started with Jr Java Programmer.Now I am java programer having more than 16 years of experiance in developing, architecting projects in variout financial and insurance organization. Currently I am working as azure devops programmer .

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