English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 45 Lessons (3h 19m) | 918 MB
Unlock your AI-powered efficiency with Microsoft. Build, deploy, and manage AI agents and multi-agent systems using the Microsoft Azure ecosystem.
What you’ll learn
- Gain practical skills in designing and implementing AI agents.
- Use Azure’s AI ecosystem for agent development.
- Use best practices for AI agent deployment in enterprise contexts.
- Create a portfolio of AI agent projects to demonstrate new capabilities.
Skills you’ll gain
- Kubernetes
- Prompt Engineering
- Containerization
- Reinforcement Learning
- Natural Language Processing
- Artificial Intelligence
- Azure Active Directory
- Responsible AI
- System Testing
- Distributed Computing
- Generative AI Agents
- Artificial Intelligence and Machine Learning (AI/ML)
- Docker (Software)
- Scalability
- Application Deployment
- Serverless Computing
- Microservices
- LangChain
- Microsoft Azure
- Prompt Patterns
This certificate is for developers with solid programming basics who want to transition into an AI Agent Developer role. You’ll build a strong foundation using Azure AI Foundry and then progress to advanced, code-based development. The curriculum will prepare you for enterprise-level challenges, where you’ll build scalable, secure, and responsible multi-agent systems. You’ll gain practical skills and create a portfolio of projects to showcase your expertise.
Throughout the courses, you’ll use the Microsoft Azure AI ecosystem to create intelligent solutions, gaining a competitive edge in a rapidly growing field. This certificate focuses on production-ready skills, providing a clear path from foundational concepts to advanced, deployable systems. You will build a hotel information agent, a medical information agent, and a multi-agent system, all while learning best practices for testing, deployment, and security.
Upon completion, you’ll be able to
- Design and implement multi-agent systems using the AutoGen framework.
- Develop production-ready agents with Python, Bot Framework, and Semantic Kernel.
- Apply enterprise security and Responsible AI principles for secure deployments.
- Create comprehensive portfolios showcasing your skills for career transition.
Prerequisites:
Basic: Background in programming basics (any language) and cloud computing concepts.
Advanced: Comfort with Python fundamentals, including async programming and REST APIs, is recommended.
Applied Learning Project
Learners will complete three major projects that build on each other, providing a comprehensive portfolio. First, you’ll build a hotel information agent to handle guest inquiries, applying foundational skills in prompt engineering and service integration. Next, you will develop a specialized medical information agent that uses programmatic development and advanced workflows to handle a sensitive, regulated domain. Finally, you’ll create a sophisticated multi-agent system where specialized agents collaborate to solve a complex business problem, demonstrating your ability to design and deploy scalable, enterprise-ready AI solutions. These projects provide concrete, real-world work samples to showcase your skills to potential employers.
Table of Contents
microsoft-ai-agent-fundamentals
understanding-ai-agents-and-azure-ai-foundry
introduction-to-ai-agents
1 course-introduction
2 course-syllabus_instructions
3 introduction-to-ai-agents
4 ai-agent-fundamentals_instructions
5 seeing-agents-in-action
azure-ai-foundry-platform
6 why-azure-ai-foundry
7 platform-architecture-and-components
your-first-ai-interaction
8 ai-services-ecosystem
9 hands-on-with-ai-capabilities
building-your-hotel-information-agent
agent-design-and-development-planning
10 enterprise-agent-success-stories
11 agent-development-lifecycle_instructions
12 design-workshop-demo
building-with-azure-ai-foundrys-agents-interface
13 from-testing-to-building
14 understanding-agent-configuration-parameters_instructions
15 agents-interface-deep-dive
enhancing-agent-responses-with-prompt-engineering
16 the-art-of-prompt-engineering
17 fine-tuning-concepts_instructions
18 advanced-prompting-strategies
enhancing-your-agent-with-ai-services
language-understanding-and-intent-recognition
19 why-language-understanding-matters
20 language-service-capabilities
knowledge-base-integration-and-search
21 knowledge-as-agent-foundation
22 search-and-retrieval-concepts_instructions
23 knowledge-system-demo
multi-service-integration-and-workflows
24 service-integration-vision
25 service-capabilities-deep-dive
professional-agent-development
testing-and-quality-assurance
26 why-testing-saves-reputations
27 testing-methodologies_instructions
28 azure-evaluation-tools-demo
understanding-agent-deployment-options
29 from-development-to-deployment
30 deployment-architecture_instructions
31 accessing-your-agent
technical-foundations-and-portfolio-setup
32 under-the-hood
33 building-your-portfolio_instructions
34 portfolio-creation-workshop
microsoft-building-intelligent-agent-workflows
azure-ai-services-integration
creating-your-healthcare-agent
35 course-introduction
36 course-syllabus_instructions
37 healthcare-agents-impact-and-responsibility
38 medical-agent-planning
understanding-azure-ai-services-ecosystem
39 ai-services-for-healthcare-agents_instructions
40 from-ui-to-code-integration-approaches
agent-development-strategies-and-service-selection
41 healthcare-development-strategies
42 healthcare-requirements-analysis_instructions
advanced-language-understanding
domain-specific-language-understanding
43 medical-language-complexity
44 azure-language-service-deep-dive
context-aware-conversations-with-memory-and-intelligence
45 context-in-healthcare-conversations
46 memory-and-intelligence-concepts_instructions
enhanced-search-with-azure-ai-search
47 medical-knowledge-retrieval
48 configuring-medical-search
advanced-agent-orchestration-and-programmatic-development
from-ui-agents-to-programmatic-development
49 evolution-to-code_instructions
50 programmatic-tools-overview
building-orchestrated-medical-assistants-with-azure-functions
51 medical-functions-architecture
52 function-development-deep-dive
extending-agents-with-external-apis-and-custom-tools
53 external-integration-patterns
54 advanced-function-implementation
production-workflows-and-testing
workflow-automation-with-azure-logic-apps
55 logic-apps-for-healthcare
56 building-healthcare-workflows
implementing-reliable-automations
57 human-in-the-loop-healthcare
58 building-approval-workflows
testing-and-quality-assurance-for-healthcare-ai
59 healthcare-testing-requirements
60 testing-methodologies_instructions
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