Azure AI Foundry Training

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Join over 100000+ learners who have taken up training with myTectra. Get High-Quality Training, Certification, Best Price and 24/7 Customer Care.

Key Program Highlights:

Delivering top-notch education to equip you with essential skills.
Learn from industry experts with real-world experience.
A thorough curriculum covering all necessary topics.
Dedicated support to help you secure job placements.
High ratings reflecting our commitment to quality.
Hands-on experience through real-world projects.
Personalized, engaging learning for better outcomes.

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The Azure AI Foundry Training offered by myTectra is a comprehensive program designed to help professionals understand, build, deploy, and manage AI-powered applications using Microsoft Azure AI Foundry—the unified platform for AI development, generative AI solutions, model deployment, and enterprise-scale governance.

This hands-on course teaches learners how to:

Use Azure AI Foundry for GenAI, LLMs, and custom AI workflows
Work with Azure OpenAI models (GPT, Embeddings, Vision models)
Use Prompt Flow, Prompt Engineering, and Prompt Debugging
Build and deploy AI applications with no-code/low-code tools
Integrate AI services like Cognitive Search, Speech, Vision, and Document Intelligence
Manage responsible AI, monitoring, security, and cost optimization
Develop, test, deploy, and operationalize AI solutions using Azure AI Studio

By the end of the training, participants will have real-world skills to build enterprise AI applications efficiently and responsibly.

Required

Basic understanding of cloud computing
Familiarity with Azure fundamentals
General understanding of AI concepts

Recommended (Not Mandatory)

Experience in Python (for advanced implementation)
Exposure to machine learning tools or APIs
Business understanding of AI use cases
This course supports both technical and semi-technical professionals.

After completing Azure AI Foundry Training at myTectra, learners will be able to:

Technical Skills

✔ Navigate and operate Azure AI Studio and AI Foundry
✔ Deploy, test, fine-tune, and integrate Azure OpenAI models
✔ Build GenAI and LLM-based applications
✔ Create workflows using Prompt Flow
✔ Implement data-driven AI solutions using Cognitive Search
✔ Integrate Vision, Speech, and Document Intelligence APIs
✔ Deploy and scale AI applications in production environments

Practical Skills

✔ Build AI solutions without extensive coding
✔ Optimize prompts and debug AI workflows
✔ Implement RAG for enterprise data
✔ Ensure responsible AI adoption
✔ Use MLOps principles for maintaining AI systems

Career Skills

✔ Work as AI Developer / GenAI Engineer / Azure AI Specialist
✔ Build enterprise AI apps for organizations
✔ Contribute to AI transformation initiatives
✔ Lead AI solution implementation using Azure

AI Developers & Engineers
Azure Cloud Engineers
Data Scientists & ML Engineers
Automation & RPA Teams
Business Analysts working with AI applications
Solution Architects
IT Professionals building AI-driven solutions
Organizations planning to adopt Generative AI

Instructor-led training
Real-time hands-on labs
Access to Azure sandbox environment
Downloadable templates, scripts, and documentation
Capstone AI project implementation
Course completion certificate from myTectra

Curriculum:

Module 1: Introduction to Azure AI Foundry

What is Azure AI Foundry?
Evolution of Microsoft’s AI ecosystem
Azure AI vs Azure OpenAI vs Cognitive Services
Overview of AI Studio, AI Hub, AI Catalog
End-to-end AI lifecycle in Azure
Real-world use cases

Module 2: Azure AI Foundry Workspace Setup

Understanding Azure AI Studio structure
Creating AI Projects, Hubs, and Resource Groups
Understanding models, deployments, compute resources
Azure Identity & Access (IAM, RBAC)
Managing API Keys, Endpoints & Secrets

Module 3: Working with Azure OpenAI Models

Large Language Models (LLMs)

GPT-4, GPT-4o, GPT-4 Turbo
Embedding models
Text & Code models

Vision & Multimodal Models

Image generation
Document understanding
Conversational AI

Hands-On:

Creating a model deployment
Testing LLMs in the Playground
Using embeddings for search & similarity

Module 4: Prompt Engineering & Prompt Flow

Prompt Engineering Concepts

Effective prompt patterns
System prompts, structured prompts
Output constraints & model control
Prompt chaining

Prompt Flow (Deep Dive)

Designing end-to-end prompt workflows
Debugging & evaluating prompts
Automated testing of prompts
Logging, monitoring & versioning

Hands-On:

Build a multi-step Prompt Flow pipeline
Evaluate output quality

Module 5: Building Generative AI Applications

Application Development Approaches

No-code and Low-code app creation
Using AI Foundry UI tools
Application acceleration using templates
Chat-based AI apps
Content generation apps

Hands-On Project:

Build a GenAI Chatbot with corporate data
Build a text summarization pipeline

Module 6: Enterprise Data Integration

Azure Cognitive Search

Indexing data sources
Chunking & embedding strategies
Search + LLM hybrid systems

Data Connectors

SharePoint
Blob Storage
Structured/Unstructured data

Hands-On:

Build RAG (Retrieval-Augmented Generation) apps

Module 7: Integrating Cognitive Services

Vision: OCR, Image Analysis
Speech to Text / Text to Speech
Document Intelligence
Translator Services
Content Safety APIs

Hands-On:

AI-powered document extraction
Speech-based automation

Module 8: Fine-tuning & Model Customization

Fine-tuning concepts
Training custom LLM models
Data preparation best practices
Evaluating tuned models
When to use fine-tuning vs prompt engineering

Hands-On:

Fine-tune a text model with domain-specific data

Module 9: Deployment, Hosting & Scalability

Managed API endpoints
Scaling AI applications
Deploying custom models
Cost management & budgeting
Logging & monitoring with Azure Monitor

Module 10: Responsible AI & Governance

Responsible AI principles
Bias detection & mitigation
Content filtering & safety
Compliance (GDPR, HIPAA)
Admin controls & policy enforcement

Hands-On:

Configure content filters
Run responsible AI evaluations

Module 11: MLOps & AI Lifecycle Automation

Overview of MLOps in Azure
CI/CD pipelines for AI apps
Versioning and model lifecycle
Model monitoring & drift detection

Hands-On:

Automated deployment pipeline for AI Studio

Demo Session

Participate in a demo session for an overview of the course content. You will meet instructors and fellow learners, ask questions, and understand the teaching approach, helping you gauge the course’s relevance to your goals.

Enrollment

Complete your registration to join the course. You will gain access to the Learning Management System (LMS), where all materials, schedules, and resources are available, ensuring you’re ready to embark on your learning journey smoothly.

Live Classes

Engage in live classes led by experienced instructors covering core topics in depth. Interactive discussions and Q&A sessions encourage active participation, enhancing your understanding and retention of the material taught.

Hands-On Project

Complete a hands-on project that applies your learned skills in practical scenarios. This project simulates real-world challenges, allowing you to build a portfolio piece that showcases your competencies to potential employers.

Certification

After completing the course and project, you will receive a recognized certification that validates your expertise and enhances your professional credentials in your chosen field.

Career Support

Access career support services after certification, including resume workshops, interview preparation, and job placement assistance. These resources equip you with the tools needed to transition successfully into the workforce.

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Expert Trainers

Courses are delivered by experienced working professionals and subject matter experts with real-world experience.

Hands-On Training

We provide learners with practical experience through real-world scenarios, projects, and interactive exercises.

Customizable Corporate Training

Tailored training solutions designed to meet the specific needs of organizations and teams.

Certifications & Assistance

Certifications offered by myTectra align with international standards and we also help you to prepare for globally recognized certifications.

Global Recognition

Trusted by individuals and enterprises worldwide, with a track record of successful alumni and partnerships.

24 x 7 Expert Support

We have a 24x7 online support team to resolve all your technical queries, through a ticket-based tracking system, for a lifetime.

Gain prestigious credentials and recognition

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Recognized Credentials

Verify Certificate

Start Learning Today. Access Your Resources for a Lifetime!

Enjoy lifetime access to myTectra’s Learning Management System (LMS), including session recordings, study materials, and resources. This ensures continuous learning and easy reference to course content even after completion.

Lifetime Access

24/7 Assistance

Resume Preparation Made Professional and Impactful

Get expert guidance in crafting a professional and impactful resume. myTectra’s resume-building support helps highlight your strengths, certifications, and skills effectively, increasing your chances of landing your dream job.

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Prepare for Success with Expert Mock Interviews

Prepare for real-world interviews with personalized mock interview sessions conducted by industry experts. Receive feedback on your performance, learn key interview techniques, and gain the confidence to succeed in job interviews.

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FAQs

Would you like to reach us for the training for your team? Please fill the below form. We will get back to as soon as possible.

myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence.

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

If you miss one or few classes we can give a backup class based on trainer and your convenient time.
In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.

Live-Online Training:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.

Just give us a CALL at +918047112411 OR email at support@mytectra.com

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

Visa Debit/Credit Card
American Express and Diners Club Card
Master Card
PayPal
Net Banking/Wire Transfer
UPI Payment such as Google Pay, PhonePe, Paytm
Cash/Cheque/DD ( Not for Online Training )

For Individual:

Classroom Training - Bangalore

Live-Online Training - Globally

For Corporates:

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.

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Placement Assistance

Exclusive access to myTectra Job portal

Mock Interview Preparation

Resume & LinkedIn Profile Building

Access to Soft Skill Enhancement

One-on-one career guidance

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