Advanced Generative AI Development on AWS

Instructor
Dharani Nayak
0
0 reviews
  • Description
  • Curriculum
  • FAQ
  • Reviews

This comprehensive course provides an end-to-end learning journey into the design, implementation, and governance of generative AI systems using AWS services. Participants will explore advanced concepts such as dynamic model selection, resilient deployment patterns, and cross-region reliability strategies. You’ll learn to build vector search and retrieval systems, develop prompt engineering and agent orchestration frameworks, and enforce AI safety, security, and observability controls. The course also emphasizes performance optimization, cost management, and continuous testing methodologies, equipping learners with the skills to deliver secure, compliant, and scalable AI architectures in production environments.

What job roles can I pursue after completing this course?
This course prepares you for advanced roles such as Generative AI Engineer, AI Solutions Architect, Machine Learning Engineer, AI DevOps Specialist, and Bedrock Implementation Consultant, with expertise in building and deploying production-ready AI systems on AWS.
What key skills will I gain from this training?
You’ll develop hands-on expertise in foundation model selection, data pipeline design, vector databases, RAG architecture, prompt engineering, Agentic AI development, and AI safety and compliance. The course also enhances your skills in performance optimization, monitoring, and enterprise integration using AWS Bedrock and related services.
How will this training help me in real-world projects?
Through hands-on labs and real-world demos, you’ll learn to implement and operationalize retrieval-augmented generation (RAG), autonomous agents, and secure AI architectures, equipping you to deliver scalable, reliable, and compliant generative AI solutions in enterprise environments.
Does this course include any practical labs or projects?
Yes. The course features multiple hands-on labs, including:
a. Building RAG applications with Amazon Bedrock Knowledge Bases
b. Designing conversational experiences with Bedrock APIs
c. Implementing AI Guardrails for responsible AI
Will this training prepare me for AWS certifications?
Yes. This course directly supports preparation for the AWS Certified Generative AI Developer – Professional certification. It covers the core domains outlined in the exam, including foundation model selection and deployment, retrieval-augmented generation (RAG), prompt engineering, Agentic AI development, AI safety and governance, and performance optimization on AWS. Through hands-on labs with Amazon Bedrock, Knowledge Bases, and AgentCore, participants gain the practical experience and architectural understanding required to confidently pursue and succeed in this certification.
What kind of post-training support or resources are available?
Participants gain access to extended learning resources, community forums, and knowledge-sharing sessions to continue skill development, stay updated on AWS AI innovations, and network with professionals in the generative AI ecosystem.
Course details
Duration 3 Days
Level Advanced

Archive

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed

CloudThat is the world's leading training & Consulting services provider on Cloud, DevOps, Security, AI&ML, IoT, and Big Data for midsize and enterprise clients globally.

CloudThat is the world's leading training & Consulting services provider on Cloud, DevOps, Security, AI&ML, IoT, and Big Data for midsize and enterprise clients globally.

CloudThat is the world's leading training & Consulting services provider on Cloud, DevOps, Security, AI&ML, IoT, and Big Data for midsize and enterprise clients globally.