Azure AI Certification Training in Gurgaon
Master Azure Cloud and get prepared for Azure official certifications with our role based courses tailored to your specific needs
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Azure AI Certification Overview
This Azure live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across Azure platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ Azure official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Basic, high-level knowledge of Azure Cloud services and terminology. Ideal starting point for Azure Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy
Familiarity with artificial intelligence (AI), machine learning (ML), and generative AI fundamentals and real-world applications
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What is Azure AI Engineer ?
Azure AI Engineer are essential for driving AI innovation in software development and testing. They manage the full deployment lifecycle—deploying apps, building and maintaining pipelines for web applications and K8s workflows, and automating development and testing processes. By streamlining workflows and resolving challenges in webapp deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Azure Certified AI Egineer?
Azure Certified AI Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable Data, AI & WebApps Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Azure Certified AI Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact Azure Certified AI Engineers in software development and testing.”**
Who should take this Azure Certified AI Engineers course?
The Azure Certified AI Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead AI & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of Azure Certified AI Engineer Course?
Prerequisites for the Azure Certified AI Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including AI tools, pipeline workflows, Webapp deployment, and automation throughout the course.
What are the prerequisites of Azure Certified AI Engineer Course?
- Azure Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Azure AI Engineer Course Overview
This Azure AI Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Azure tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Artificial Intelligence
Microsoft Azure AI Engineer Associate (AI-102)
Getting Started with Azure AI Foundry and Playgrounds
- Set Up Your First Azure AI Foundry Resource
- Navigating the Azure AI Foundry Portal: A Complete Overview
- Exploring the Azure AI Foundry Model Catalog
- Deploying Models with Azure AI Foundry
- Chat Playground in Azure AI Foundry: Instructions, Context, and System Prompts
- Chat Playground in Azure AI Foundry: Tuning Parameters for Better Results
- Chat Playground in Azure AI Foundry: Managing Safety System Messages
- Chat Playground in Azure AI Foundry: Working with Examples
- Chat Playground in Azure AI Foundry: Using Variables
- Chat Playground in Azure AI Foundry: Working with Phi-4 Model
- Image Playground & Using Images as Input in Chat Playground
- Video Playground in Azure AI Foundry
- Audio Playground in Azure AI Foundry
- Speech Playground in Azure AI Foundry
- Language & Translator Playground in Azure AI Foundry
- Prompt Engineering Fundamentals & Best Practices
- Grok Models in Azure AI Foundry
Building Assistants in Azure AI Foundry Playground
- Building Your First Assistant in Azure AI Foundry
- Creating a Smart Travel Buddy with Vector Store in Assistant Playground
- Building Data Analyzer Pro with Code Interpreter in Assistant Playground
- Designing PyLabCoach with Advanced Code Interpreter in Assistant Playground
- Functions in Assistant Playground
Building RAG, Model Fine-Tuning, and Safety Controls in Azure AI Foundry
- Build Retrieval-Augmented Generation (RAG) Based Solution in Azure AI Foundry
- Fine-Tune and Deploy a Language Model in Azure AI Foundry
- Guardrails and Controls: Using Default Content Filters
- Guardrails and Controls: Creating Custom Filters & Blocklists
- Evaluate Generative AI Model Performance (Manual & Automated Evaluation)
Python Applications with Azure AI Foundry
- Generative AI Chatbot with Python & Azure AI Foundry
- Generative AI Chatbot with Python & Azure AI Foundry (Gradio Integration)
- Code Walkthrough: Generative AI Chatbot with Python & Azure AI Foundry
- Vision-Powered Chatbot with Python & Azure AI Foundry
- Code Walkthrough: Vision-Powered Chatbot with Python & Azure AI Foundry
- Image Generation with DALL·E 3 Using Python
- Python Application for Assistants Playground
Develop AI Agents with Azure AI Foundry
- Build Your First AI Agent in Azure AI Foundry: Travel Reimbursement Assistant
- Data Analysis AI Agent with Code Interpreter (CSV Project)
- Data Analysis AI Agent (Python SDK)
- Custom function (Tool) in AI Agent: Automating Support Tickets (Python SDK)
- Design Multi-Agent AI Solutions: Movie Night AI Assistant (Python SDK)
Prompt Flow in Azure AI Foundry
- Prompt Flow for Conversational AI Chat Apps
- Simple Prompt Flow in Azure AI Foundry Part 1
- Simple Prompt Flow in Azure AI Foundry Part 2
- Simple Prompt Flow in Azure AI Foundry Part 3
- Prompt Flow: Multiple LLM calls in Sequence
- Prompt Flow: Multiple LLM calls in Parallel
- Prompt Flow: Simple Chat Flow
- RAG with Prompt Flow: Standard Flow with Index Lookup Part 1
- RAG with Prompt Flow: Standard Flow with Index Lookup Part 2
- RAG with Prompt Flow: Chat Flow with Index Lookup
- Web Search with SERP API in Prompt Flow
Get Started with Azure AI Services
- Develop AI Solutions on Azure
- How to Access Azure AI Services (Now Rebranded as Azure AI Foundry)
- [Hands-On] Lab Get Started with Azure AI Services Part 1
- [Hands-On] Lab Get Started with Azure AI Services Part 2
- [Hands-On] Manage Azure AI Services Security Part 1
- [Hands-On] Manage Azure AI Services Security Part 2
- [Hands-On] Manage Azure AI Services Security Part 3
- [Hands-On] Monitor Azure AI Services
- Azure AI Services in Containers
- [Hands-On] Use an Azure AI Services Container
- Azure Content Safety
- Implement Azure AI Content Safety Part 1
- [Hands-On] Implement Azure AI Content Safety Part 2
- Preparing an AI Service Deployment for a Production Environment
Computer Vision Solutions with Azure AI Vision
- Computer Vision Solutions
- [Hands-On] Analyze Images with Azure AI Vision
- [Hands-On] Classify Images with Azure AI Vision Custom Model Part 1
- [Hands-On] Classify Images with Azure AI Vision Custom Model Part 2
- [Hands-On] Detect Objects in Images with Azure AI Custom Vision
- [Hands-On] Detect and Analyze Faces Part 1
- [Hands-On] Detect and Analyze Faces Part 2
- [Hands-On] Read Text in Images
- [Hands-On] Analyze Video with Video Indexer
- [Hands-On] Build Image Classification Model with Custom Vision
- Pricing: Azure Computer Vision Solutions
- Choosing the Right Azure AI Vision Tools for a Multimedia AI Project
Natural Language Processing Solutions with Azure AI Services
- NLP Solutions with Azure AI Services
- [Hands-On] Analyze Text
- [Hands-On] Create Language Understanding Model Part 1
- [Hands-On] Create Language Understanding Model Part 2
- [Hands-On] Custom Text Classification Part 1
- [Hands-On] Custom Text Classification Part 2
- [Hands-On] Extract Custom Entities Part 1
- [Hands-On] Extract Custom Entities Part 2
- [Hands-On] Translate Text
- [Hands-On] Recognize and Synthesize Speech Part 1
- [Hands-On] Recognize and Synthesize Speech Part 2
- [Hands-On] Translate Speech
- Pricing: Azure Natural Language Processing Solutions
- Designing a Multilingual AI Assistant with Azure NLP Services
Azure AI Document Intelligence
- [Hands-On] Use Prebuilt Document Intelligence Models Part 1
- [Hands-On] Use Prebuilt Document Intelligence Models Part 2
- [Hands-On] Use Prebuilt Document Intelligence Models Part 3
- [Hands-On] Extract Data from Forms Part 1
- [Hands-On] Extract Data from Forms Part 2
- Create Composed Document Intelligence Model
- Hands-On] Create Composed Document Intelligence Model Part 2
- Hands-On] Create Composed Document Intelligence Model Part 3
- Pricing: Azure Document Intelligence Solutions
- Automating Document Processing with Azure AI Document Intelligence
Generative AI Solutions with Azure Open AI Service
- Get Started with Azure OpenAI Service
- Apply Prompt Engineering with Azure OpenAI Service
- Build Natural Language Solutions with Azure OpenAI Service
- [Hands-On] Get Started with Azure OpenAI Service
- assess growth/fragmentation and report on database free space
- [Hands-On] Model Instructions and, Adding Examples
- [Hands-On] Safety System Messages, Examples and Parameters
- [Hands-On] Azure OpenAI SDKs
- Generate Code with Azure OpenAI Service
- [Hands-On] Generate and Improve Code with Azure OpenAI Service
- Generate Images with Azure OpenAI Service
- [Hands-On] Generate Images with DALL-E Model
- [Hands-On] Develop Web Application
- Implement RAG with Azure OpenAI Service
- [Hands-On] Implement RAG with Azure OpenAI Service Part 1
- [Hands-On] Implement RAG with Azure OpenAI Service Part 2
- Pricing: Azure Generative AI solutions
- Designing a Generative AI Assistant with Azure OpenAI
Knowledge Mining with Azure AI Search
- Create an Azure AI Search Solution
- Create Custom Skill for Azure AI Search
- Implement Advanced Search Features in Azure AI Search
- Maintain Azure AI Search Solution
- [Hands-On] Implement Enhancements to Search Results Part 1
- [Hands-On] Implement Enhancements to Search Results Part 2
- [Hands-On] Create Demo Search Application
- [Hands-On] Creating Skillset
- [Hands-On] Run Queries using Search Explorer
- Perform Vector Search and Retrieval in Azure AI Search
- [Hands-On] Vectorizing Text Part 1
- [Hands-On] Vectorizing Text Part 2
- [Hands-On] Vectorizing Images
- Create Knowledge Store with Azure AI Search
- [Hands-On] Create Knowledge Store with Azure AI Search
- Perform Search Reranking with Semantic Ranking in Azure AI Search
- [Hands-On] Semantic Ranker in Azure AI Search
- [Hands-On] Use Your Own Data with Azure OpenAI Models
- [Hands-On] Debug Search Issues
- [Hands-On] Use REST API to Run Vector Search Queries
- Pricing: Azure AI Search Solutions
- Building a Smart Search Experience with Azure AI Search
Azure AI Foundry Service
- Create and Configure Azure AI Foundry Service
- Azure AI Foundry Service: Explore Model Catalog
- [Hands-On] Model Catalog: Deploying and Using Models (Phi-4)
- [Hands-On] Model Catalog: Deploying and Using Models (DeepSeek R1, Llama)
- [Hands-On] Azure AI Foundry Playgrounds: Chat & Speech Playgrounds
- [Hands-On] Azure AI Foundry Speech Playground: Custom Speech Fine-Tuning
- [Hands-On] Azure AI Foundry Playgrounds: Agents, Image, Healthcare & Language
- [Hands-On] Data and Indexing, Search Index Creation & LLM Setup
- Designing a Multi-Model AI Workspace in Azure AI Studio
Prompt Flow in Azure AI Foundry
- [Hands-On] Simple Prompt Flow in Azure AI Foundry Part 1
- [Hands-On] Simple Prompt Flow in Azure AI Foundry Part 2
- [Hands-On] Simple Prompt Flow in Azure AI Foundry Part 3
- [Hands-On] Prompt Flow: Multiple LLM calls in Sequence
- [Hands-On] Prompt Flow: Multiple LLM calls in Parallel
- [Hands-On] Prompt Flow: Simple Chat Flow
- [Hands-On] RAG with Prompt Flow: Standard Flow with Index Lookup Part 1
- [Hands-On] RAG with Prompt Flow: Standard Flow with Index Lookup Part 2
- [Hands-On] RAG with Prompt Flow: Chat Flow with Index Lookup
- [Hands-On] Web Search with SERP API in Prompt Flow
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Microsoft Certified Azure AI Engineer Associate – Exam AI-102 Certification Course.
With the Microsoft Certified Azure AI Engineer Associate – Exam AI-102 Certification Course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- AWS Polly
- Azure Databricks
- Azure SQL Server
- Azure Functions
- Azure App Services
- Azure Logic Apps
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Moniter
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Microsoft Certified Azure AI Engineer Associate – Exam AI-102 Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Azure & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Azure AI Engineer?
To become a successful Azure AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Azure implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunications
- BFSI (Banking, Finance & Insurance)
- “Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Microsoft Certified Azure AI Engineer reviewed by learners?
Our Azure AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (Azure)
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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