Azure AI Foundry Certification Training | Complete Azure AI Foundry Course

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12 Sessions
Live Classes
11 Notes
Quick Notes
20 Labs
Hands-on Labs
2 Project(s)
Learn to implement
6 Tests
Skill Tests

Azure AI Foundry Certification Training Overview

Azure AI Foundry Training is a comprehensive program designed to empower professionals with the expertise needed to design, develop, and operationalize advanced AI solutions using the Microsoft Azure AI ecosystem. This training emphasizes real-world implementation, scalability, and innovation, preparing participants to harness the full potential of Azure AI services in enterprise environments.

Azure AI Foundry Course Objectives

Participants in the Azure AI Foundry program will gain the following skills upon completion:

  1. Hands-on Learning: Design and deploy sophisticated AI workflows using services like Azure Cognitive Services and LLMs.
  2. Real-world Projects: Tackle complex, industry-aligned projects focused on generative AI, computer vision, and responsible AI practices.
  3. Enterprise-Ready Skills: Learn how to build scalable, secure, and production-grade AI applications in enterprise Azure environments.
  4. Live Support & Mentorship: Get expert guidance from Azure-certified professionals and connect with peers via dedicated channels like Teams.
  5. AI-Integrated Development: Master modern AI development with tools like Azure OpenAI Service, LLMs, and AI Foundry.
  6. Responsible AI Practices: Learn to design AI systems with fairness, transparency, and accountability using Azure's responsible AI toolkits.
  7. Career Advancement: Build a strong foundation for roles such as AI Solutions Architect, AI Engineer, and Gen AI Engineer.

Why Choose Our Azure AI Foundry Training Course?

    1.) High Demand: Over 80% of enterprises now adopt Azure-powered AI solutions (Gartner, 2024). With Azure capturing 30% of the cloud AI market, certified professionals and hands-on project expertise—are in high demand globally.

    2.) Attractive Compensation: Azure Gen AI Engineers enjoy competitive salaries:

    • US: $100,000 - $150,000 per year.
    • India: INR 15,00,000 - INR 30,00,000 annually.

    3.) Career Growth Opportunities: With the Azure Gen AI Engineer Certification, you open the door to various career paths like Machine Learning Engineer, Data Scientist, and AI Solutions Architect in leading companies such as Microsoft, Google, and Amazon.

    4.) Work on Cutting-Edge Technologies: As AI and machine learning evolve, Azure Gen AI Engineers work with the latest tools and technologies to innovate in industries like healthcare, finance, and e-commerce.

    5.) Future-Proof Your Career: The global AI market will hit $407B by 2027. Azure AI roles are growing 35% YoY, offering unmatched job stability and career growth.


    Why Learn Azure AI?

    Azure Cloud Foundry Career Scope

    Azure AI Engineer
    Gen AI Architect
    Azure Gen AI Engineer
    Azure AI Foundry Engineer
    LLM Engineer
    ₹25 LPA
    Avg package
    35%
    Avg hike
    3,200+
    Transitions
    78%
    Demand
    Annual Salaries (₹)
    ₹55 LPA
    Avg package
    40%
    Avg hike
    3,200+
    Transitions
    75%
    Demand
    Annual Salaries (₹)
    ₹52 LPA
    Avg package
    38%
    Avg hike
    3,200+
    Transitions
    80%
    Demand
    Annual Salaries (₹)
    ₹27 LPA
    Avg package
    35%
    Avg hike
    3,200+
    Transitions
    72%
    Demand
    Annual Salaries (₹)
    ₹32 LPA
    Avg package
    80%
    Avg hike
    6,000+
    Transitions
    99%
    Demand
    Annual Salaries (₹)

    Tools and Technologies Covered

    Azure Services
    Cloud Foundry
    AI Tools
    LLMs
    Hugging Face
    LLama Model
    GPT
    Deepseek
    Phi Model
    AI Agent
    Copilot
    MCP Server

    Azure AI Foundry Certification Training Key Features

    • 6 Weeks of Intensive Live Training
    • Learn from Microsoft MVPs
    • Build real-world Projects
    • Career Coaching
    • Resume & Portfolio Building
    • Job Assistance
    Book FREE LIVE DEMO

    Course Curriculum

    Azure AI Foundry Foundations

    Setting Up Azure AI Foundry

    1. Introduction to Azure AI Foundry
    2. Azure AI Foundry Models
    3. Environment Setup: VS Code with AI extensions, Docker Desktop prerequisites

    Azure AI Foundry Fundamentals

    1. Strategic Role: How Foundry powers Microsoft’s generative AI stack
    2. Core Components: Projects, hubs, model catalog, SDKs
    3. Workspace Management: Projects, hubs, workspaces, and access controls
    4. Enterprise Readiness: Governance, compliance, and RBAC/identity integration
    Models & Hybrid AI

    Foundation Models in Azure AI Foundry

    1. Catalog Exploration: GPT, Grok, DeepSeek, Phi, Hugging Face, LLaMA
    2. Model Selection: Latency, cost, performance, and domain alignment
    3. Deployment Options
    4. Lifecycle Management: Testing, evaluation, versioning, and optimization

    Hybrid AI with Docker & OSS Models

    1. Local AI Setup: Running LLaMA, Mistral, Phi, Hugging Face Transformers in Docker
    2. Hybrid Workflows: Combining Azure-hosted models with OSS models
    3. Enterprise Patterns: Cost-performance tradeoffs and security for hybrid deployments
    Intelligent Agents and Orchestration

    Building AI Applications

    1. SDKs & Templates: Deep dive into Azure AI Foundry development stack
    2. Prompt Flow: Designing and iterating LLM applications
    3. LangChain & Semantic Memory
    4. API Extensions: External API calls, streaming, error handling

    Enterprise Copilot Development

    1. Copilot Design: Task-specific architecture and workflows
    2. RAG at Scale: Vector databases (Azure AI Search)
    3. Document Ingestion Pipelines: Data prep and embedding strategies
    4. Performance Optimization: Latency reduction, context management, UX best practices
    Multi Agents and MCP Servers

    Multi-Agent Systems

    1. Agents 101: Roles, collaboration models, and 2025 trends
    2. Orchestration: LangGraph or Semantic Kernel
    3. Error Handling: Recovery flows and validation agents
    4. Build a multi agent workflow

    Model Context Protocol (MCP) Integrations

    1. MCP Architecture: Servers, clients, and communication patterns
    2. Enterprise Data Integration: SQL Server, Blob Storage, Cosmos DB or SharePoint
    3. Security & Performance: Authentication, caching, and scaling MCP services
    4. MCP-enabled workflow with enterprise system integration
    Responsible AI & DevOps

    Responsible AI & Monitoring

    1. Ethical AI: Content safety, bias mitigation, compliance frameworks
    2. LLMOps in Action: Prompt evaluation, hallucination detection, groundedness
    3. Monitoring: App Insights integration
    4. Evaluate & monitor a RAG-enabled enterprise copilot

    Integration & DevOps for AI

    1. CI/CD Pipelines: Azure DevOps, GitHub Actions
    2. Automated Testing: Validation, regression testing, blue-green deployments
    3. Enterprise Integration: Teams, Power BI
    4. Governance & Ops: Cost optimization, policy enforcement, DR/business continuity
    1. Introduction to Azure AI Foundry
    0:11:00
    2. Adoption of Generative AI Through Azure AI Foundry
    0:08:00
    3. Architectural Overview of Azure AI Foundry
    0:07:30
    4. Features and Capabilities of Azure AI Studio
    0:08:30
    5. Exploring the AI Model Catalog in Azure AI Foundry
    0:08:00
    6. Observability and Performance Monitoring Tools in Azure AI Foundry
    0:13:00
    7. Identity and Access Management in Azure AI Foundry
    0:10:00
    8. Responsible AI and Compliance Features in Foundry
    0:06:30
    9. Using the Azure AI Foundry SDK and Command-Line Tools
    0:07:00
    10. Automating AI Workflows Using Prompt Flow and Pipelines
    0:08:30
    11. Implementing CI/CD Pipelines for AI Model Deployment
    0:13:00
    1. Azure AI Foundry: Generative AI Fundamentals with Azure OpenAI
    00:30:00
    2. Azure AI Foundry: Exploring and Comparing Different LLMs
    00:45:00
    3. Azure AI Foundry: Responsible AI with Azure OpenAI
    00:35:00
    4. Azure AI Foundry: Prompting with Azure AI
    00:30:00
    5. Azure AI Foundry: Building Layered AI Prompts
    00:45:00
    6. Azure AI Foundry: Building Chat Applications
    00:45:00
    7. Azure AI Foundry: Generate Images with Azure DALL·E in Python
    00:50:00
    8. Azure AI Foundry: Text Generation Apps
    00:30:00
    9. Azure AI Foundry: Mini Search Engine with Azure AI & Python
    00:45:00
    10. Azure AI Foundry: AI Weather App with Function Calling
    00:50:00
    11. Azure AI Foundry: AI Chat App with Azure OpenAI & Flask
    00:30:00
    12. Azure AI Foundry: Conversational App with Flask & OpenAI
    00:40:00
    13. Azure AI Foundry: Generative AI Application Lifecycle
    00:50:00
    14. Azure AI Foundry: RAG AI Chat App with Azure & Flask
    00:45:00
    15. Azure AI Foundry: AI Policy Reviewer with Flask & Azure
    00:50:00
    16. Azure AI Foundry: AI Policy Reviewer with Azure Agents
    00:55:00
    17. Azure AI Foundry: SLM App with Azure OpenAI & Flask
    00:40:00
    18. Azure AI Foundry: Fine-Tuned AI Assistant with Azure & Flask
    00:45:00
    19. Azure AI Foundry: Low-Code AI App with Azure & Flask
    00:40:00
    20. Azure AI Foundry: LLaMA Chat App with Hugging Face & Flask
    00:50:00
    Project #1: Multi-Agent RAG Workflow

    Designing Intelligent Workflows

    1. Introduction to Multi-Agent RAG
    2. Combining Retrieval and Summarization with LangGraph
    3. Agent Collaboration for Knowledge Workflows
    4. Enhancing Contextual Understanding with Multiple Agents
    5. Secure Integration using Model Context Protocol (MCP)
    6. Connecting with Enterprise Systems (Databases, SharePoint)

    Deployment & Monitoring in Azure

    1. Deploying the Workflow in Azure AI Foundry
    2. Configuring Secure Data Access and Permissions
    3. Setting Up Monitoring with Application Insights
    4. Tracking Workflow Performance and Reliability
    5. Optimizing Agent Coordination for Scalability
    6. Enterprise Use Cases of Multi-Agent RAG
    Project#2: Intelligent Workplace Copilot

    Enterprise Copilot Development

    1. Introduction to Generative AI Copilots
    2. Leveraging Azure AI Foundry for Enterprise Solutions
    3. Integrating Hosted Models (GPT, DeepSeek, Phi)
    4. Incorporating Open-Source Models (LLaMA in Docker)
    5. Designing Advanced Workflows with RAG
    6. Multi-Agent Orchestration for Complex Tasks

    Deployment & Real-World Integration

    1. MCP (Model Context Protocol) Integration with Enterprise Systems
    2. Deploying the Copilot into Microsoft Teams
    3. Configuring Secure Data Access and Governance
    4. Enabling Real-World Collaboration Scenarios
    5. Monitoring Performance and User Adoption
    6. Scaling the Copilot Across the Organization
    1. Introduction to Azure AI Foundry
    15 Questions
    2. Azure AI Foundry Architecture and Core Services
    15 Questions
    3. Azure AI Foundry Data Management and Integration
    15 Questions
    4. Azure AI Foundry Model Deployment and Monitoring
    15 Questions
    5. Azure AI Foundry Security, Networking, and Governance
    15 Questions
    6. Azure AI Foundry Developer Tools and Ecosystem Integration
    15 Questions

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    Frequently Asked Questions

    Q1. What is the Azure AI Foundry Course?
    The Azure AI Foundry Course is a hands-on training program designed to help you master building, deploying, and managing AI-powered applications and agents using Microsoft’s unified Azure AI Foundry platform. You’ll learn to use cutting-edge tools, models, and workflows to create intelligent solutions for real-world business needs
    Q2. Is an Azure AI Engineer certificate worth it?
    Absolutely! If you're aiming for a career in AI, machine learning, or data science—especially within the Microsoft ecosystem—the Azure AI Engineer (AI-102) certification can give you a real edge. It proves your ability to build, manage, and deploy AI solutions using Azure tools. Plus, it’s valued by employers looking for cloud-savvy AI professionals.
    Q3. How long does the Azure AI Foundry certification process take?
    It usually depends on your background, but on average, the Azure AI Foundry training and certification path takes 4 to 6 weeks if you’re studying part-time. If you’re already familiar with Python and Azure basics, you might move faster.
    Q4. What is the cost of the Azure AI Foundry training program?
    The price can vary depending on the training provider, but most Azure AI Foundry programs cost between $500 and $1,200 USD. Some platforms also offer financial aid or discounts for students and early registrants.
    Q5. Are there any hands-on labs included in the Azure AI Foundry course?
    Yes, hands-on labs are a big part of the experience! The course is designed to be practical, so you’ll get access to real Azure environments to practice building chatbots, computer vision apps, and natural language processing models.
    Q6. Do I need AI-900 before AI-102?
    Not at all, AI-900 (Azure AI Fundamentals) is optional. It’s great for beginners and can help you build a solid foundation, but if you're already comfortable with basic AI concepts and Azure, you can go straight to AI-102.
    Q7. Who is eligible for AI-102?
    Anyone interested in building AI solutions on Azure can take AI-102! That said, it’s best suited for developers, data scientists, and engineers with some experience in Python and a basic understanding of Azure services. If you’ve worked on AI models or applications before—even better!
    Q8. Do I get access to hands-on labs and real Azure environments?
    Yes! Most AI-102 training programs, including Azure AI Foundry, provide access to live labs, sandbox environments, and real-world projects. These help you apply what you learn in a practical, job-ready way.
    Q1. Can I Attend a Demo Session before Enrolment?
    Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.
    Q2. Can I request for a support session if I need to better understand the topics?
    Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
    Q3. Who are your mentors?
    All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.
    Q4. What If I miss my online training class?
    All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.
    Q5. Can I share my course with someone else?
    In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
    Q6. Do you provide any course material or live session videos?
    Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.
    Q7. Do you provide training on latest technology version?
    Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.
    Q8. Do you prepare me for the job interview?
    Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.
    Q9. Will I get placement assistance after receiving my course completion certificate?
    Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
    Still have some questions? Let's discuss.
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