Code and framework based agent development

This course is part of Microsoft AI Agents: From Foundations to Applications Professional Certificate

Instructor: Microsoft

Access provided by TVET Authority Google Scholarships

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

24 assignments

Taught in English

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Build your Design and Product expertise

This course is part of the Microsoft AI Agents: From Foundations to Applications Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There are 4 modules in this course

This course is designed to transition experienced developers into AI agent specialists through intensive, hands-on coding. You'll build production-ready systems by using AI frameworks and integrating advanced language models. You'll benefit by learning to build secure, cost-optimized agents and connect them to the Microsoft 365 ecosystem.

By the end of this course, you will be able to: - Integrate Azure OpenAI Service for complex reasoning and implement prompt chaining strategies. - Develop professional conversational bots using Python and the Bot Framework. - Simplify AI orchestration by creating reusable plugins and memory systems with Semantic Kernel. - Connect agents to the Microsoft 365 ecosystem using the Microsoft Graph API for data access and report generation. - Implement production-ready features, including error handling, security, and cost-optimization.

Learn to integrate language models by utilizing GPT-4 for complex reasoning and implementing sophisticated prompt engineering strategies. You'll build cost management systems using Azure Monitor, optimize token usage, and create sustainable AI development practices that balance capability with budget.

What's included

7 videos3 readings6 assignments

7 videos Total 28 minutes

Course introduction 4 minutes
The power of advanced language models 3 minutes
Setting up Azure OpenAI 5 minutes
Prompt engineering as a discipline 4 minutes
Advanced prompting patterns 6 minutes
The economics of AI APIs 3 minutes
Cost management implementation 4 minutes

3 readings Total 30 minutes

Course syllabus 10 minutes
Azure OpenAI service architecture 10 minutes
Optimization strategies 10 minutes

6 assignments Total 180 minutes

OpenAI production graded quiz 30 minutes
Activity: Research agent foundation with OpenAI 45 minutes
Introduction to AI agents knowledge check 15 minutes
Activity: Research prompt workshop 45 minutes
Prompt engineering for specialized analysis knowledge check 15 minutes
Activity: Cost monitoring and optimization 30 minutes

Learn professional agent development by building sophisticated conversational bots using Python and Bot Framework with production-ready practices. You'll implement proper error handling, testing with pytest, security measures, and create a portfolio-worthy GitHub repository demonstrating your full-stack AI capabilities.

What's included

6 videos2 readings6 assignments

6 videos Total 29 minutes

Why Python for AI agents 5 minutes
Building your first Python bot 5 minutes
Bot framework architecture 3 minutes
Advanced bot development 5 minutes
Production excellence 5 minutes
Building production systems 6 minutes

2 readings Total 20 minutes

Python agent architecture 10 minutes
Professional development practices 10 minutes

6 assignments Total 210 minutes

Bot framework development and deployment graded quiz 30 minutes
Activity: Python agent development bootcamp 45 minutes
Building with Azure AI Foundry's agents interface knowledge check 15 minutes
Activity: Research bot implementation 45 minutes
Bot framework development with Python SDK knowledge check 15 minutes
Activity: Enterprise research bot with GitHub portfolio 60 minutes

Simplify AI orchestration using Semantic Kernel to create reusable plugins and implement memory systems for your agents. You'll build market research capabilities through composable functions, understand memory architecture for context retention, and compare SK's advantages over traditional development approaches.

What's included

5 videos3 readings6 assignments

5 videos Total 21 minutes

Why Semantic Kernel 4 minutes
Building with Semantic Kernel 5 minutes
The plugin ecosystem 3 minutes
Plugin development deep dive 5 minutes
Building memory systems 4 minutes

3 readings Total 30 minutes

Semantic Kernel architecture 10 minutes
Memory in AI agents 10 minutes
Memory implementation strategies 10 minutes

6 assignments Total 180 minutes

Semantic Kernel development graded quiz 30 minutes
Activity: Semantic Kernel foundation 30 minutes
Semantic Kernel fundamentals 15 minutes
Activity: Research plugin development 45 minutes
Building plugins and skills knowledge check 15 minutes
Activity: Memory implementation 45 minutes

Connect your agents to the enterprise by implementing Microsoft Graph API for file access and building data integration pipelines. You'll create automated report generation systems, process data from multiple sources, and compile a comprehensive portfolio showcasing your evolution from basic agents to integrated enterprise solutions.