Year End Sale: Get Upto 40% OFF on Live Training! Offer Ending in
D
H
M
S
 Get Now
  1. Home
  2. Job Oriented Training
  3. Azure AI/ML And Genai Eng..

Azure AI/ML and GenAI Engineer Certification Training Program

A Proven Curriculum to Get a Software Job of ₹42 LPA*

For Students/Beginners

  • 4 Months of Intensive Training
  • Learn from the Most Valuable Professionals
  • Learn Python and Python Libs
  • Learn Machine Learning, Azure AI
  • Build 4 Live Projects
  • Resume & Portfolio Building
  • Mock Interviews
  • Job Assistance
  4.7/5 Ratings     4.7/5Ratings
EMI Options Available* Get Details
Book a FREE Live Demo!
Year End Sale Offer

Why Become Azure AI/ML and GenAI Engineer?

Becoming an Azure AI/ML and GenAI expertise can significantly enhance your career and unlock new opportunities in today's tech-driven world. Here are some compelling reasons to pursue this career path:

  1. High Demand & Job Security: Azure is at the forefront of the cloud and AI market, and professionals skilled in Azure AI/ML and GenAI are in global demand, ensuring a high level of job security.
  2. High Paying Salaries: Azure AI/ML and GenAI specialists are among the top earners, with salaries reaching up to 42 LPA, highlighting the premium placed on specialized skills in AI and cloud.
  3. Diverse Opportunities: Azure expertise is valuable across sectors like finance, healthcare, and more, with over 3 million websites relying on Azure, offering broad career options.
  4. Influential Roles: As an AI/ML expert, you’ll lead digital transformation by creating advanced, scalable AI solutions that can redefine business efficiencies.
  5. Professional Recognition: With Azure’s 200+ services, certifications in AI/ML and GenAI solidify your credibility, leading to continuous career growth in IT.
  6. Booming AI Market: The AI sector is growing rapidly (47.5% annually), with 2.5 million career opportunities in AI and machine learning. Azure AI/ML expertise places you at the cutting edge of this booming field.
Why Become Azure AI/ML Engineer?
Build Real-World Projects
Hands on, work experience-based learning is what makes Scholarhat different from others. Build real world projects by applying your coding skills live with your mentors in just 15 weeks. You’ll learn how to start a project from scratch by following recommended architecture, practices and deploy to server.
Sales Forecasting & Prediction (Powered by Azure ML)
Utilize Azure Machine Learning to predict sales trends and demand for various products. By analyzing historical data, seasonality, and economic factors, this project helps businesses in retail or manufacturing plan inventory and production more accurately.
Fraud Detection System (Powered by Azure ML)
Build a fraud detection system using Azure ML and anomaly detection algorithms. By analyzing transaction patterns and user behavior, the system can flag suspicious activities, providing enhanced security for financial institutions.
Document Processing System (Powered by Azure AI)
Build a scalable AI-powered document processing system that extracts and classifies information from documents (e.g., invoices, resumes) using Azure AI services, such as Azure Document Intelligence. This project should integrate AI models for OCR, text extraction, and data classification.
Customer Support Chatbot (Powered by Open AI)
Build a scalable AI-driven Customer Support Chatbot using Azure OpenAI services and .NET Core. This chatbot will handle common customer inquiries, offer support, and provide real-time solutions by integrating GPT models for natural language understanding and response generation.
BOOK A FREE DEMO CLASS
Course Curriculum

The Azure AI/ML and Generative AI Program is designed to cover essential areas, including mastering Python, Machine Learning, and Azure AI and Generative AI. Participants will gain expertise in implementing workloads and security within the Azure framework, skillfully creating and deploying applications in Azure, and ensuring robust data security. This curriculum provides a comprehensive and hands-on understanding of Azure, preparing you to excel as a proficient Azure AI/ML and GenAI Engineer.

 Python for Data Science and AI

  • Python Basic
  • Variables and Data Types
  • Conditional Loop
  • For Loop
  • While Loop
  • List Tuple Set
  • Dictnoary
  • Functions
  • Numpy
  • Pandas

  • Introduction to Machine Learning
  • Supervised Learning
  • Naive Bayes
  • K Nearest Neighbors
  • Boosting
  • Unsupervised Learning
  • Clustering
  • K-means
  • Hierarchical Clustering
  • Apriori
  • Singular Value Decomposition
  • Reinforcement Learning
  • Upper Confidence Bound
  • Thompson Sampling
  • Linear Algebra (Matrices and Vertices)
  • Types of Statistics and Data
  • Levels of Measurement
  • Central Tendency and Dispersion
  • Covariance and Correlation
  • Probability Density and Distribution
  • Bernouli and Poission Distribution
  • Uniform Distribution
  • Hypothesis Testing

OpenAI and GenAI Tools

  • Generative AI Fundamentals
  • Generative AI vs. Traditional AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Introduction to Azure OpenAI Service
  • Build NLP solutions.
  • Apply prompt engineering.
  • Generate code and images.
  • Implement Retrieval-Augmented Generation (RAG).

  • Understanding OpenAI and ChatGPT
  • How ChatGPT Works?
  • Coding with ChatGPT
  • Generating, optimizing, and debugging code
  • Generating documentation and code explainability
  • Translation among different programming languages
  • What is GitHub Copilot?
  • Setting up GitHub Copilot
  • GitHub Copilot Basics and Features
  • Debugging and optimization tips
  • Enhancing .NET applications with Copilot
  • Testing and Debugging with GitHub Copilot

Azure Data Scientist Associate (DP-100)

    • Azure Machine Learning services
    • Key components of Azure ML (workspaces, datasets, experiments)
    • Identify business objectives and project feasibility
    • Select algorithms for the task
    • Data and Resource Planning
    • Set up Git integration for source control
    • Create and manage registries
    • Data Exploration and Preprocessing
    • Intro to feature engineering
    • Create, select, and transform features
    • Apply feature scaling techniques
    • Create a training pipeline
    • Data assets from the designer
    • Custom code components
    • Evaluate the model, including responsible AI guidelines

    • Configure job run settings for a script
    • Configure compute for a job run
    • Consume data from a data asset in a job
    • MLflow to log metrics from a job run
    • Logs to troubleshoot job run errors
    • Configure an environment for a job run
    • Define parameters for a job
    • Create a pipeline
    • Pass data between steps in a pipeline
    • Run and schedule a pipeline
    • Describe MLflow model output
    • Configure settings for online deployment
    • Configure compute for a batch deployment
    • Deploy a model to an online endpoint
    • Deploy a model to a batch endpoint
    • Test an online deployed service
    • Automate model retraining
    • Define event-based retraining triggers

AI and Azure AI (AI-102)

  • Introduction to AI
  • Understanding Machine Learning
  • Neural Networks and Deep Learning
  • Key Concepts: Supervised vs. Unsupervised Learning, Reinforcement Learning
  • Azure AI Services
  • Prepare to develop AI solutions on Azure
  • Create and consume Azure AI services
  • Monitor Azure AI services

  • Analyze images using pre-trained models
  • Classify images with custom models
  • Detect and analyze faces
  • Perform OCR on text in images
  • Analyze videos using Azure Video Indexer
  • Analyze text with Azure AI Language
  • Create question-answering solutions
  • Translate text and speech using Azure AI Translator
  • Create an Azure AI Search solution
  • Maintain and optimize Azure AI Search solutions
  • Use prebuilt models to analyze common documents
  • Extract data using Azure Document Intelligence

Career Coaching Interview Prep

  • Personalized Career Coaching
  • Physical & Mental Fitness
  • Secrets of Time Management
  • Success Habits
  • Secrets of Productivity

  • Build projects portfolio on GitHub
  • Make your Projects Live
  • Draft your Resume
  • Make Profile on Job Portals
  • Art of unlocking opportunities

  • Prepare Yourself for interview
  • How to answer tough questions
  • Learn How to Face your tech interview
  • Mock Interviews to build confidence
  • Get Feedback of your Mock interviews
DOWNLOAD DETAILED CURRICULUM
Azure AI/ML and Gen AI Engineer Career Scope

Azure AI/ML and Gen AI Engineer are employed by the world's leading companies. Discover the salary and skills For Azure AI/ML Engineers.

Tools and Technologies Covered
Python
Logic Building
OOPs
Jupyter
Code Debugging
Statistics
Machine Learning
ML Studio
AI
AI Studio
NLP
Azure AI
Open AI
Copilot
GitHub Copilot
What can you accomplish at the end of training?

Complete cloud-stack specialization, earn certification and get referred to top companies:

  • Transform Your Role: From Developer to Azure AI/ML Engineer
  •  Up to 2X Increment in Your Current Salary
  • Switch to top Enterprises or Product Based Companies
  • Switch Job as an Azure AI/ML Engineer
  • Build Real World Applications with Azure AI/ML
  • Learn to design solution using GenAI
  • Prepare for Technical Interviews
Book Your Demo

Pricing and Payment Plans

₹58,410
40% OFF
₹34,999
One Time Total Fee
*EMI options available, for queries Contact Us
6-month Low cost EMI: ₹5,833
One time processing Fee: ₹235

Program Details

  • Blended Live Training Program
  • Dedicated Placement Support
  • Project Based Training
  • Limited Seats Available
  • Help and Support Using Discord
  • Dedicated doubt Solving Sessions
  • 1 Yr. Access to LMS
  • Career Coaching Sessions

EMI Partners

Course Mentors
Author image View Profile
Shailendra Chauhan (Microsoft MVP, Founder & CEO at ScholarHat)
Shailendra Chauhan, Founder and CEO of ScholarHat by DotNetTricks, is a renowned expert in System Design, Software Architecture, Azure Cloud, .NET, Angular, React, Node.js, Microservices, DevOps, and Cross-Platform Mobile App Development. His skill set extends into emerging fields like Data Science, Python, Azure AI/ML, and Generative AI, making him a well-rounded expert who bridges traditional development frameworks with cutting-edge advancements. Recognized as a Microsoft Most Valuable Professional (MVP) for an impressive 9 consecutive years (2016–2024), he has consistently demonstrated excellence in delivering impactful solutions and inspiring learners.

Shailendra’s unique, hands-on training programs and bestselling books have empowered thousands of professionals to excel in their careers and crack tough interviews. A visionary leader, he continues to revolutionize technology education with his innovative approach.
Author image View Profile
Pranit Thakur (Technical Consultant and Corporate Trainer)

A passionate professional with over 12 years of experience in technical and corporate training. He is passionate about learning new technologies and sharing his experience with professionals. He is an expert in JavaScript technologies including React, Angular and Node.js.

Student Reviews

Our Students are working at companies such as:

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

We use cookies to make interactions with our websites and services easy and meaningful. Please read our Privacy Policy for more details.

Accept cookies & close this