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Azure AI Foundry Certification Training

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12 Sessions

  Live Classes

11 Notes

Quick Notes

8 Labs

Hands-on Labs

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:

  • Hands-on Learning: Design and deploy sophisticated AI workflows using services like Azure Machine Learning, Prompt Flow, and Cognitive Services.

  • Real-world Projects: Tackle complex, industry-aligned projects focused on generative AI, computer vision, and responsible AI practices.

  • Enterprise-Ready Skills: Learn how to build scalable, secure, and production-grade AI applications in enterprise Azure environments.

  • Live Support & Mentorship: Get expert guidance from Azure-certified professionals and connect with peers via dedicated channels like Discord and Teams.

  • AI-Integrated Development: Master modern AI development with tools like Azure OpenAI Service, Form Recognizer, and Azure AI Studio.

  • Responsible AI Practices: Learn to design AI systems with fairness, transparency, and accountability using Azure's responsible AI toolkits.

  • Career Advancement: Build a strong foundation for roles such as AI Solutions Architect, AI Engineer, and Applied Data Scientist in enterprise AI teams.

Why Become an Azure Gen AI Engineer in 2025?

    1.) High Demand: The need for Azure Gen AI Engineers is rapidly increasing as businesses adopt AI technologies. Companies are seeking skilled professionals to lead digital transformation through AI solutions.

    2.) Attractive Compensation: Azure 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 Azure 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 AI Engineers work with the latest tools and technologies to innovate in industries like healthcare, finance, and e-commerce.

    5.) Future-Proof Your Career: AI and machine learning are among the fastest-growing fields, providing long-term job stability and career growth. Becoming an Azure AI Engineer in 2025 ensures you are at the forefront of this technological revolution.


    Why Learn Azure AI?

    Azure Cloud Foundry Career Scope

    Over 80% of enterprises are now adopting Azure-powered AI solutions (Gartner, 2024). From banking and healthcare to retail and tech, companies are hiring developers who can build intelligent apps using Microsoft Azure.

    With Azure owning 30% of the cloud AI market, certified professionals are in high demand—especially those with AI-102 certification and hands-on project experience.

    High-Paying Roles with Global Opportunities

    After completing the Azure AI Foundry Certification, you open the door to some of the best-paying AI jobs in the industry:

    1. India: ₹12–18 LPA (Glassdoor, 2024)

    2. USA: $110,000–$150,000 per year (Indeed, 2024)

    Salaries increase significantly when paired with real-world Azure projects, machine learning, and Generative AI skills.

    Career Paths You Can Pursue

    Once you're certified, you're not limited to just one role. Many developers branch into:

    1. AI Solutions Architect – Design scalable AI systems using Azure services

    2. Machine Learning Engineer – Build, train, and deploy ML models

    3. AI Consultant – Advise organizations on AI transformation

    4. Data Scientist – Analyze and interpret big data for real-world insights

    Future-Proof Your Career

    The global AI market is expected to reach $407 billion by 2027 (MarketsandMarkets, 2024). AI roles are seeing a 35% year-over-year growth, and Microsoft Azure’s expanding ecosystem ensures long-term job stability and career growth for certified professionals

    Azure AI Engineer Career Scope

    Tools and Technologies Covered
    Azure Services
    AI Tools
    LLM
    ML Model
    LLama Model
    GPT
    Deepseek
    Phi Model
    AI Agent
    Copilot
    VS Code
    Cloud Foundry
    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

    Included in this Azure AI Foundry Certification Training

    •   Live Sessions12 Classes
    •   Quick Notes 11 Notes
    •   Labs 8 labs
    •   Skill Tests 6 Tests
    Azure AI Foundry - Introduction & Setup

    Module 1: Introduction to Azure AI Foundry

    1. Understand the Azure AI ecosystem and Foundry's role in generative AI development
    2. Explore core components: projects, hubs, model catalog, and SDKs
    3. Compare Foundry with traditional ML platforms

    Module 2: Setting Up for AI Development

    1. Set up your Azure AI Studio and Foundry environment
    2. Create and manage projects and workspaces
    3. Configure compute, data sources, and access controls

    Module 3: Choosing and Deploying Models

    1. Browse and select foundation models from the catalog (GPT, LLaMA, etc.)
    2. Deploy models using managed compute or serverless endpoints
    3. Understand model testing, configurations, and usage patterns
    Azure AI Foundry - Building Applications & Fine-Tuning

    Module 4: Building AI Applications

    1. Develop apps with the Azure AI Foundry SDK and templates
    2. Use prompt flow to build and iterate on LLM-powered applications
    3. Integrate AI models with tools like LangChain and semantic memory

    Module 5: Creating Custom Copilots and RAG Agents

    1. Build task-specific copilots using your own data with RAG
    2. Configure tools like embedding models, vector indexing, and document ingestion
    3. Manage retrieval contexts and memory for agents

    Module 6: Fine-Tuning Language Models

    1. Fine-tune chat-completion models for specific use cases
    2. Use prompt engineering and training data for customization
    3. Apply OpenAI models and OSS models with fine-tuning pipelines
    Azure AI Foundry - Monitoring, Evaluation & Deployment

    Module 7: Tracing and Performance Monitoring

    1. Implement tracing with Azure AI Foundry project library
    2. Monitor model performance, latency, and safety metrics
    3. Integrate with observability platforms like Azure Monitor

    Module 8: Evaluation and Responsible AI

    1. Evaluate copilots using built-in metrics and user feedback
    2. Use model assessment tools for quality, reliability, and safety
    3. Apply responsible AI practices and compliance measures

    Module 9: Privacy, Security, and Cost Control

    1. Understand data handling, privacy, and secure deployment practices
    2. Implement authentication, VNET integration, and policy controls
    3. Track usage, quotas, and optimize cost through the management center

    Module 10: CI/CD and Integration Workflows

    1. Integrate with Azure DevOps, GitHub Actions, and MLflow
    2. Automate app deployment and updates using CI/CD pipelines
    3. Connect with services like Azure Data Factory, Synapse, Power BI

    Module 11: Capstone Project

    1. Design and implement a full generative AI solution using Azure AI Foundry
    2. Build, fine-tune, deploy, and monitor a production-ready copilot or AI agent
    3. Present solution outcomes and reflect on best practices
    Quick Notes Notes (11)

    Introduction to Azure AI Foundry

    0:11:00

    Adoption of Generative AI Through Azure AI Foundry

    0:08:00

    Architectural Overview of Azure AI Foundry

    0:07:30

    Features and Capabilities of Azure AI Studio

    0:08:30

    Exploring the AI Model Catalog in Azure AI Foundry

    0:08:00

    Observability and Performance Monitoring Tools in Azure AI Foundry

    0:13:00

    Identity and Access Management in Azure AI Foundry

    0:10:00

    Responsible AI and Compliance Features in Foundry

    0:06:30

    Using the Azure AI Foundry SDK and Command-Line Tools

    0:07:00

    Automating AI Workflows Using Prompt Flow and Pipelines

    0:08:30

    Implementing CI/CD Pipelines for AI Model Deployment

    0:13:00

    Hands-On Labs Labs(8)

    Azure AI Foundry: Generative AI Fundamentals with Azure OpenAI

    00:30:00

    Azure AI Foundry: Exploring and Comparing Different LLMs

    00:45:00

    Azure AI Foundry: Responsible AI with Azure OpenAI

    00:35:00

    Azure AI Foundry: Prompting with Azure AI

    00:30:00

    Azure AI Foundry: Building Layered AI Prompts

    00:45:00

    Azure AI Foundry: Building Chat Applications

    00:45:00

    Azure AI Foundry: Generate Images with Azure DALL·E in Python

    00:50:00

    Azure AI Foundry: Text Generation Apps

    00:30:00

    Skill Tests Tests (6)

    Introduction to Azure AI Foundry

    15 Questions

    Azure AI Foundry Architecture and Core Services

    15 Questions

    Azure AI Foundry Data Management and Integration

    15 Questions

    Azure AI Foundry Model Deployment and Monitoring

    15 Questions

    Azure AI Foundry Security, Networking, and Governance

    15 Questions

    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 Dot Net Tricks 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

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