New AWS AI courses

Unlock the full value of AI on AWS by upskilling your teams

AI is no longer a side project—it’s quickly becoming the backbone of how leading enterprises operate, innovate, and compete. Yet many organizations are held back not by technology, but by skills gaps: developers and technical teams who can’t yet design, secure, and scale real world AI systems in production.

To truly maximise your AI opportunity on AWS, you need a workforce that understands agentic AI—systems that don’t just respond to prompts, but plan, reason, and act autonomously against your business goals.

That’s why Global Knowledge is excited to offer two new AWS Agentic AI courses, designed specifically for enterprise teams who are ready to move from experimentation to impact.

NEW: BUILDING AGENTIC AI WITH AMAZON BEDROCK AGENTCORE

In this 1 day, intermediate level course, learners will:

• Understand how agentic AI differs from traditional conversational systems
• Explore key design principles for goal driven, tool using agents
• Get hands on with Strands Agents SDK and Amazon Bedrock AgentCore
• Learn how to orchestrate autonomous agents that can plan, act, and adapt to achieve business outcomes

Ideal for:

• Software developers ready to move beyond basic GenAI into agentic systems
• Technical professionals exploring advanced AI capabilities on AWS
• Development teams building autonomous, goal driven AI solutions

Recommended prerequisite:

• Agentic AI Foundations (NA: 910031 / EMEA: GK910031)

Empowering Enterprise Transformation with Agentic AI Solutions

Use this course to build a shared foundation across your technical teams. It’s ideal as a stepping stone between foundational GenAI knowledge and more advanced, multi agent architectures—reducing ramp up time and accelerating your AI roadmap.
 

NEW: BUILDING ADVANCED AGENTIC SYSTEMS ON AWS

Once your teams understand the fundamentals, this advanced course helps them design production ready, multi agent systems that meet enterprise standards for scale, security, and observability.

Learners will:

• Implement multi agent patterns using Amazon Bedrock AgentCore
• Apply context optimization techniques to improve performance and cost efficiency
• Configure security and governance controls appropriate for enterprise environments
• Design monitoring and observability frameworks for agentic AI workloads
• Learn how to move from proof of concept to secure, scalable, and auditable agentic AI in production

Ideal for:

• Software developers building complex, agent based AI applications on AWS
• Technical teams responsible for operationalising AI in production
• Cross functional teams (architecture, security, ops) supporting advanced AI projects

Recommended prerequisites:

• Agentic AI Foundations
• Building Agentic AI with Amazon Bedrock AgentCore

Transforming Agentic AI from Pilot Projects to Production Excellence

This is the course that helps teams cross the chasm from pilots to production. It’s ideal for organizations that already have early GenAI or agentic pilots on AWS and now need to harden, scale, and govern those solutions across the business.

WHY ENTERPRISES SHOULD ACT NOW

Investing in focused, role based AI training helps you:

• Accelerate time to value for AI projects by giving teams hands on skills in the actual AWS tools they’ll use day to day
• Reduce risk by embedding security, governance, and observability practices into AI solutions from day one
• Future proof your workforce as agentic and autonomous systems become standard across customer service, operations, and product development
• Retain and engage top talent by offering cutting edge learning opportunities aligned to their career growth

With these new agentic AI courses from AWS, available through Global Knowledge, you can build an AI ready workforce that is equipped to design, deploy, and manage the next generation of intelligent systems on AWS.

Ready to upskill your teams on agentic AI?

👉 View upcoming dates and enroll your team today!

Planning AI training for multiple teams or regions?

👉 Contact your Global Knowledge account manager to discuss private, dedicated delivery, custom learning paths, or integration with your existing AWS training strategy.