Azure AI Foundry Certification Training

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.

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

1. Growing Demand: The demand for Azure AI Engineers is soaring as 80% of enterprises are now investing in AI-powered solutions (Gartner, 2024). Companies in finance, healthcare, e-commerce, and manufacturing are adopting Azure AI to enhance decision-making, automate workflows, and improve customer experiences. Microsoft Azure’s 30% market share in cloud AI services ensures consistent job opportunities for skilled professionals.

2. High-Paying Jobs: Azure AI Engineers are among the top-paid AI professionals globally. The average salary ranges from:

₹12–18 LPA in India (Glassdoor, 2024)
$110,000–$150,000 per year in the USA (Indeed, 2024)
Salaries can exceed these ranges with expertise in machine learning, Generative AI, and Azure AI certifications like AI-102.

3. Diverse Career Paths: An Azure AI Engineer can advance into specialized and high-impact roles such as:

AI Solutions Architect – Designing scalable AI infrastructures
Machine Learning Engineer – Building intelligent ML models
Data Scientist – Analyzing big data for predictive insights
AI Consultant – Guiding AI strategy for global businesses
With experience, you can specialize in Generative AI, AI Research, or transition into AI Product Management and Leadership roles.

4. Job Stability and Growth: The AI industry is expected to grow to $407 billion by 2027 (MarketsandMarkets, 2024), making it one of the fastest-growing tech sectors. Microsoft Azure AI’s expanding ecosystem ensures long-term career stability, with roles witnessing a 35% YoY growth in demand.

Azure AI Engineer Career Scope

Included in this Azure AI Foundry Certification Training

Live Sessions12 Classes

Azure AI Foundry - Introduction & Setup

Module 1: Introduction to Azure AI Foundry

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

Module 2: Setting Up for AI Development

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

Module 3: Choosing and Deploying Models

Browse and select foundation models from the catalog (GPT, LLaMA, etc.)
Deploy models using managed compute or serverless endpoints
Understand model testing, configurations, and usage patterns

Azure AI Foundry - Building Applications & Fine-Tuning

Module 4: Building AI Applications

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

Module 5: Creating Custom Copilots and RAG Agents

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

Module 6: Fine-Tuning Language Models

Fine-tune chat-completion models for specific use cases
Use prompt engineering and training data for customization
Apply OpenAI models and OSS models with fine-tuning pipelines

Azure AI Foundry - Monitoring, Evaluation & Deployment

Module 7: Tracing and Performance Monitoring

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

Module 8: Evaluation and Responsible AI

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

Module 9: Privacy, Security, and Cost Control

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

Module 10: CI/CD and Integration Workflows

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

Module 11: Capstone Project

Design and implement a full generative AI solution using Azure AI Foundry
Build, fine-tune, deploy, and monitor a production-ready copilot or AI agent
Present solution outcomes and reflect on best practices

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12 months unlimited access to the course.

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Live Sessions
~~₹20665~~ ₹16000

22.56 % OFF

~~₹20,665~~ ₹16,000

12 months unlimited access to the course.

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Frequently Asked Questions

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. Do you offer certificate of completion?

Yes. The certificate is valid and can be used for interviews. Additionally, the student can register for the .Net Certification exam after completion of this course.

Q4. 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.

Q5. 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.

Q6. 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.

Q7. 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.

Q8. 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.

Q9. 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.

Q10. 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

Azure AI Foundry Certification Training

12 Sessions