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