Training: Generative AI on AWS
Discover how Generative AI is transforming businesses and learn how to
implement it effectively on AWS, in a training program organized by Several Clouds.
Training: Generative AI on AWS
Discover how Generative AI is transforming businesses and learn how to implement it effectively on AWS, in a training program organized by Several Clouds.
Accelerate your path from Concept to Creation
Generative AI is already shaping the way companies design products, serve customers, and optimize operations. AWS offers secure access to foundation models, tools, and infrastructure so you can build and scale generative AI tailored to your data, use cases, and clients. On your own, navigating the services and integration points can be a complex journey that slows progress.
Several Clouds’ workshops and trainings are designed to help your team move quickly from exploration to confident execution.
What this solves
- Go beyond theory with hands-on
Move from concepts to practice with interactive exercises, real-world use cases, and guided labs. Participants will not only learn how Generative AI works on AWS but also build the confidence to apply it directly in their organizations. - Gain a deep understanding of the “Why”, not just “How”
This training doesn’t stop at technical steps. It dives into the bigger picture — exploring the business drivers, ethical considerations, and strategic value of Generative AI to ensure every implementation has purpose and impact. - Leverage true AWS experience for enterprise-grade governance
Learn proven practices from AWS experts who have built and managed large-scale cloud solutions. The program covers governance, compliance, and security, so you can confidently adopt Generative AI in environments that demand enterprise-level reliability.
Who it’s for
Executives & product leaders
Gain clarity on opportunities, risks, and ROI. Learn how Generative AI can shape business strategy, drive innovation, and deliver measurable value.
Security, Compliance & FinOps
Understand the guardrails, controls, and cost models needed to adopt Generative AI responsibly, securely, and with predictable budgets.
Engineering, Data/ML & DevOps
Move from theory to practice with reference architectures, working patterns, and hands-on labs that show you how to build and deploy GenAI solutions on AWS.
Packages
Executive Briefing
Duration: 2 hours
Format: lecture-style and hands-on labs
Level: Beginner/Intermediate
Agenda
• Generative AI fundamentals
• Overview of AWS AI/ML/GenAI services portfolio
• AWS GenAI ecosystem: Amazon Bedrock, SageMaker, Amazon Q
• Amazon Bedrock Deep Dive
• Hands-on on Amazon Bedrock and Amazon Q
Technical Workshop
Duration: 1 day
Format: lecture-style and hands-on labs
Level: Intermediate/Expert
Agenda
• Program objectives and expected outcomes
• Overview of AWS AI/ML/GenAI services portfolio
• AWS GenAI ecosystem: Amazon Bedrock, SageMaker, Amazon Q
AI/ML/GenAI Foundations
• Key AI concepts and services
• Generative AI fundamentals
• AWS infrastructure components for Generative AI applications
Amazon Bedrock Deep Dive
• Amazon Bedrock service architecture and capabilities
• Supported foundation models
• Prompt engineering techniques with practical examples
• Model selection criteria and performance considerations
• Hands-on demonstration: API integration and response generation
• Design patterns for foundation model applications
• Fine-tuning methodologies and knowledge retrieval augmentation
• Bedrock Flows and Agents Building Blocks
Enterprise Governance for AI
• Security framework for AI applications
• IAM role configuration for model access
• Fine-grained permission controls and guardrails
• Cost optimization strategies for inference and training
• Budget monitoring and control mechanisms
• Compliance considerations: GDPR, CCPA, industry-specific regulations
• Responsible AI principles and implementation
Use Case Implementation
• Hands-on demonstration: Knowledge Base augmented inference
• Hands-on demonstration: Chatbot architecture and implementation
• Hands-on demonstration: Bedrock Flows and Agent augmentation
• Hands-on demonstration: Amazon Q for internal users (document analysis, content generation)
• Hands-on demonstration: Amazon Q for developers (code assistance, debugging, documentation)
Q&A Session & Conclusion
• Key takeaways review
• Resources for continued learning
• Open forum for questions
What you’ll learn
✓ How AWS services like Bedrock, SageMaker, and Amazon Q fit into the GenAI ecosystem
✓ How to apply prompt engineering and model selection techniques in real-world scenarios
✓ How to configure governance, security, and compliance guardrails for enterprise-grade AI applications
✓ How to implement practical use cases such as chatbots, document analysis, and developer assistance
Logistics & Next Steps
Delivery: Available both virtually and on-site.
Group Size: Ideal for teams of 8–12 participants.
Language: Sessions can be delivered in English or Bulgarian.
How to proceed: Tell us about your team, your timeline, and the format you prefer — Executive Briefing, Technical Workshop, or a tailored mix of both — and we’ll create a proposal designed to fit your goals and schedule.
Simply request it from the form below, and our team will get back to you shortly.
Bring Generative AI Training to Your Team
Fill out the form to request a proposal — we’ll help you accelerate adoption with the right format, timing, and content.
What our participants say
Relevant Success Stories
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