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воскресенье, 22 февраля 2026 г.

Deploy AI Microservices on AWS — Now Enrolling

Learn to build scalable, production-grade AI systems with RAG and agentic workflows — enroll for $49 or save with membership.‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  ‌  
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Build Production-Grade AI Microservices on AWS

Master RAG, agentic workflows, and scalable cloud-native AI architecture — enroll now.

AI demos are easy. Production systems are complex. Building AI Systems with Microservices on AWS is a focused, 3-hour intermediate course designed for engineers and architects who need to deploy enterprise-grade AI systems — not just prototypes.

Learn how to integrate LLMs into microservices, manage latency and state in distributed environments, implement serverless AI architectures on AWS, and deploy production-ready systems with observability and governance built in.

Enroll Now

What You'll Learn

 

Architect AI-native microservices integrating LLMs, RAG, and agentic workflows

 

Design for latency, determinism, and state management challenges

 

Implement event-driven AI architectures using AWS (Bedrock, SageMaker, Lambda, EKS/ECS)

 

Deploy intelligent systems with feedback loops and governance controls

 

Integrate probabilistic AI outputs into deterministic enterprise systems

 

Course Structure

 

From monolithic systems to AI-native microservices

 

Core challenges in distributed AI systems

 

Proven microservices design patterns and best practices

 

Hands-on AWS deployment project

 

Architecture slide decks included

 

Intermediate level, 3 hours total


 

  • Who Should Enroll

    • Cloud Architects building AI-enabled systems

    • Backend developers integrating LLM APIs

    • AI/ML engineers deploying models in production

    • DevOps and platform engineers managing distributed workloads

    • Technical product managers leading AI initiatives

    • Engineering leaders modernizing legacy architecture

 

Membership Advantage

  • 50% off all courses with General Membership

  • FREE access with Premium Membership

  • 30% off certifications

  • Access to exclusive content

Enroll now for $49 or unlock exclusive savings with ADaSci Membership and start building AI systems that scale.

Register today.

If you're looking to roll this out across your teams, we work directly with organisations to deliver AI corporate program. The course can be customised to your industry, roles, and internal policies, with examples and workflows aligned to how your teams actually operate.

Talk to us to explore team-wide training, custom modules, and tailored delivery formats that support responsible, real-world AI adoption at scale.

 

Ready to elevate your workforce's capabilities? Let ADaSci help you design a learning strategy that ensures your team is always one step ahead. 

Contact Us Today!
Write to us at info@adasci.org to learn more or schedule a consultation.

Request a Consultation
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83238000382933250_5_1732513056653_2

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