Agentic AI & RAG - Gen AI with AWS Bedrock, Google Vertex AI

Agentic AI & RAG – Gen AI with AWS Bedrock, Google Vertex AI | Udemy [Update 08/2025]
English | Size: 2.8 GB
Genre: eLearning

Generative AI with AWS Bedrock – S3, Lambda, API Gateway, Knowledge Base, Guardrails, Google Vertex AI – RAG, Agentic AI

What you’ll learn
Fundamentals of Generative AI – Understand the core concepts of Generative AI, including prompt engineering, cloud computing, and how AI models work.
AWS Bedrock – Learn how to set up AWS Bedrock, explore the console, and use services like S3, Lambda, and API Gateway to build AI-powered application
Knowledge Base and Retrieval-Augmented Generation (RAG) – Build applications that use RAG to interact with custom data stored in S3 using AWS Bedrock.
Agent Creation and Guardrails – Create powerful Agents with guardrails to ensure safe and reliable interactions with AI models.
Google Vertex AI – Explore Google’s Vertex AI offerings, learn how to set up Vertex AI Studio, and implement RAG and Agentic AI use cases.
Hands-On Projects – Implement real-world use cases, including building AI knowledge base applications, travel agent apps, and integrating external APIs and clou
Cloud Integration – Learn how to effectively integrate Generative AI with cloud services for scalability, security, and storage.

This course is ideal for students, data scientists, AI/ML engineers, developers, and product managers who want to master Generative AI using AWS Bedrock and Google Vertex AI. No prior Python experience is required, making it accessible to beginners eager to dive into the world of AI without the steep learning curve.

We’ll cover the essentials of Generative AI and cloud computing before delving into hands-on projects using AWS Bedrock services like S3, Lambda, and API Gateway. You’ll build applications with knowledge base creation, RAG (Retrieval-Augmented Generation), and guardrail setups to ensure safe, reliable AI outputs.

In addition, you’ll explore Google Vertex AI, where we’ll cover Agentic AI for dynamic, real-time decision-making and Vertex AI RAG to create intelligent AI systems. You’ll also integrate APIs and cloud functions to enhance your applications further.
We’ll cover AWS AI offerings like Amazon Q, SageMaker AI and Google cloud AI offerings.

With comprehensive hands-on practice and clear explanations, this course ensures that you gain practical skills in Generative AI and cloud AI services. By the end, you’ll be equipped to build scalable, AI-powered applications, making it perfect for advancing your career in the ever-evolving AI field.

The course will get updated with new content regularly.

Who this course is for:

Beginners in AI and Cloud – Individuals with no prior experience in Python, AI, or cloud computing who want to gain practical skills in Generative AI.
Students – Those studying computer science, AI, or data science who want to explore hands-on AI and cloud applications.
Data Scientists and Machine Learning Engineers – Professionals looking to expand their expertise in Generative AI, RAG, and Agentic AI using AWS Bedrock and Google Vertex AI.
Developers – Software developers seeking to learn how to build AI-powered applications with cloud integration using AWS and Google Cloud.
Product Managers – Those managing AI-related products and looking to understand how Generative AI and cloud solutions can be used to improve product features.
Researchers – AI researchers interested in learning about the practical applications of Generative AI on cloud platforms and exploring new AI tools.

DOWNLOAD FROM RAPIDGATOR

DOWNLOAD FROM TURBOBIT

If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9

Who this course is for:

Leave a Comment Cancel reply