Agentic AI Foundations Training in Global

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Intermediate
  • Price: Please contact for booking options

Agentic AI Foundations is an introductory course designed for professionals who want to build autonomous, goal-driven AI solutions using AWS services. Throughout the programme, participants will explore how Agentic AI differs from traditional generative AI and conversational systems while gaining a solid understanding of the principles behind intelligent agent architectures.

The course introduces key AWS technologies including Amazon Q Developer, Amazon Q Business, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore. Participants will learn how these services can be used to design, develop, and deploy autonomous AI solutions capable of solving real-world business challenges.

In addition, the programme explores architectural patterns for production-ready Agentic AI systems, covering topics such as observability, interoperability, agent collaboration, and implementation strategies. By the end of the course, learners will have a strong foundation for designing and evaluating Agentic AI applications within AWS environments.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants are recommended to have:

  • Completion of Generative AI Essentials or equivalent practical experience
  • Basic knowledge of AWS services
  • Fundamental software development experience

Who Should Attend

This course is designed for:

  • Software developers beginning their journey with Agentic AI.
  • Technical professionals interested in understanding the core concepts and capabilities of autonomous AI systems.
  • Development teams evaluating Agentic AI solutions and comparing different agent architectures.
  • AWS users expanding their knowledge of Amazon Q Developer, Amazon Q Business, or Amazon Bedrock technologies.
  • Solution architects and engineering teams building intelligent autonomous applications.

What You Will Learn

Upon successful completion of this course, participants will be able to:

  • Explain the evolution of Agentic AI and identify the characteristics that define autonomous AI systems.
  • Describe the core architectural components of Agentic AI solutions.
  • Differentiate between workflow-based, autonomous, and hybrid agent models.
  • Compare AWS services designed for Agentic AI development.
  • Explain the capabilities and common use cases of Amazon Q Developer, Amazon Q Business, and Kiro.
  • Describe the core functionality of Amazon Bedrock Agents and Amazon Bedrock AgentCore.
  • Identify common implementation patterns for Agentic AI applications.
  • Explain observability and interoperability approaches used in production-ready Agentic AI systems.

Training Outline

Module 1 - From Large Language Models (LLMs) to Agentic AI

  • Understanding the fundamentals of Large Language Models (LLMs)
  • Key innovations that enabled Agentic AI
  • The evolution from LLM-powered systems to autonomous agents
  • The progression of Agentic AI technologies

Module 2 - Exploring Agentic AI

  • Core concepts of Agentic AI
  • Different categories of AI agents
  • Common applications of Agentic AI
  • Real-world use cases for autonomous intelligent agents

Module 3 - Understanding Agentic AI Workflows

  • Workflow patterns used in Agentic AI solutions
  • Overview of Amazon Bedrock Flows
  • How workflow orchestration supports intelligent decision-making

Module 4 - Introducing Autonomous Agents

  • How autonomous agents operate
  • Understanding the ReAct framework
  • Exploring the ReWoo architecture
  • Multi-agent collaboration patterns
  • Overview of AWS Agentic AI solutions

Module 5 - Amazon Q and Agentic AI Development Tools

  • Amazon Q Developer
  • Amazon Q Business
  • Using Amazon Q across AWS services
  • Kiro and specification-driven AI-assisted development

Module 6 - Building Agentic AI with AWS

  • Amazon Bedrock Agents
  • Amazon Bedrock AgentCore
  • Hands-on laboratory exercises
  • Integrating Amazon Bedrock Knowledge Bases
  • Implementing Amazon Bedrock Guardrails

Module 7 - Building Your Own Agentic AI Solutions

  • Developing custom Agentic AI solutions
  • Observability and monitoring strategies
  • Agent interoperability
  • Architectural considerations for production-ready deployments

Module 8 - Course Review and Next Steps

  • Review of key concepts covered throughout the course
  • Recommended next learning steps
  • AWS resources and additional learning opportunities

Why Choose Us

Experience Agentic AI Foundations in Global through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Global and worldwide, with flexible planning options for individual and corporate training needs.

Experience Agentic AI Foundations in a focused classroom environment in Global. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Agentic AI Foundations in Global solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

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Agentic AI Guide: What Is Autonomous AI?

Artificial intelligence has evolved at an incredible pace over the past few years. We started with AI-powered assistants capable of answering questions. Then came Generative AI, allowing us to create text, images, code, music, and even videos with simple prompts. Now, the next major evolution has arrived: Agentic AI. If you've been following AI trends, you've probably noticed that everyone—from Google and Microsoft to Amazon, OpenAI, and countless startups—is talking about AI agents. But what exactly makes Agentic AI different from traditional AI models? Simply put, Agentic AI refers to AI systems that can independently plan, reason, make decisions, use tools, and complete complex tasks with minimal human intervention.

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