• Application closes on

    8 Jun, 2026

  • Program Duration

    6 months (6–10 hrs/week)

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Microsoft Advantage

    Completion certificate from Microsoft and Simplilearn, along with a Microsoft Learn Certificate.

    Completion certificate from Microsoft and Simplilearn, along with a Microsoft Learn Certificate.

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    Robust AI Curriculum

    Learn Deep Learning, GenAI, and Agentic AI using tools like AutoGen, Copilot Studio and more.

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    Real-World Projects

    Work on 12+ hands-on projects, including 3 capstones, to solidify your AI expertise.

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    Readiness For The AI-900 Exam

    Build the expertise required to excel in the Microsoft Azure AI-900 certification exam.

Corporate Training

Enroll your employees into this program, NOW!

AI Engineer Course Overview

The Microsoft AI Engineer Program is designed to equip you with the skills to build and deploy AI solutions. Gain a comprehensive understanding of generative AI, machine learning, and cloud-based AI tools through projects that simulate real-world scenarios and industry needs.

Key Features

  • Completion Certificate: Earn a joint certificate from Microsoft and Simplilearn
  • Microsoft Learn Certificate: Unlock official certificates on the Microsoft Learn portal
  • Beginner-Friendly Learning: Access a comprehensive curriculum with an optional module covering programming fundamentals
  • 140+ Hours of Live Training: Learn from industry experts through interactive sessions
  • Hands-On AI Development: Work on 12+ hands-on projects, including 3 capstones to showcase your skills
  • AI-900 Exam Preparation: Get in-depth training for the Microsoft Azure AI Fundamentals certification
  • Expert-Led Masterclasses: Learn directly from Microsoft experts via live online sessions
  • Industry-Leading Tools: Gain expertise in Azure OpenAI, Copilot, PyTorch, and more
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • AI & ML Specialization: Explore machine learning, deep learning, and prompt engineering

AI Engineer Certification Advantage

Gain a competitive edge in the AI industry with practical skills in machine learning, deep learning, and generative AI. Master prompt engineering, Microsoft Azure AI Fundamentals (AI-900), and application development for AI-based solutions.

  • Program Certificate

    Collaborating with Microsoft:

    • Certificate of Completion from Microsoft and Simplilearn
    • Live masterclass by Microsoft-certified trainers
    • Sessions on RAG and prompt engineering
  • Microsoft Certificate

    Exclusive Microsoft AI & Cloud Advantage

    • Training on Azure, Copilot, and cloud-based AI tools
    • Microsoft Learn certificates and portal access
    • Microsoft Azure AI-900 exam preparation session

AI Engineer Course Details

This program offers a comprehensive AI curriculum covering Python essentials, data science, machine learning, and deep learning, along with modules in NLP and Generative AI. Learners engage with hands-on projects, real-world applications, industry insights, and sessions from Microsoft experts.

Learning Path

  • Induction Microsoft AI Engineer
    • Program induction to understand the structure, platform, and support system
    • Understand program outcomes and learning roadmap
    • Explore resources available on the Learning Management System (LMS)
    • Learn how to fully leverage the program
       
  • MS AI: Basics of Programming (Optional)
    • An optional beginner-friendly course for those starting their AI journey
    • Grasp the basics of digital logic, data representation, and programming
    • Explore compilers, interpreters, and coding essentials like variables, loops, and conditions
    • Practice writing programs using conditional statements and structured logic
  • MS AI : Python For AI
    • Master Python basics: syntax, data types, loops, and functions
    • Understand OOP and modular coding
    • Learn threading and multithreading
    • Build the foundation for AI and ML coding
    • Practice with hands-on Python programming tasks
    • Learn how to utilize GenAI to become more efficient at Python
  • MS AI: Applied Data Science with Python
    • Acquire essential Python tools and techniques applied explicitly in data science.
    • Build critical skills in Python tailored for various data science career roles.
    • Engage in a blended learning model to deepen your understanding of core data science concepts.
    • Gain hands-on experience with practical applications for real-world insights.
       
  • MS AI: Machine Learning using Python
    • Engage in over 40 hours of applied learning and interactive lab sessions.
    • Solidify your knowledge with 4 practical, hands-on projects.
    • Benefit from dedicated mentoring support throughout your learning journey.
    • Master core Machine Learning concepts to achieve certification.
       
  • MS AI: Deep Learning Specialization
    • Differentiate deep learning from machine learning and explore various neural network types.
    • Develop proficiency in forward/backward propagation, hyperparameter tuning, and model interpretability.
    • Master core deep learning techniques, including dropout, early stopping, CNNs, object detection, and RNNs.
    • Gain foundational knowledge in PyTorch and learn to create and optimize neural networks effectively.
       
  • Microsoft Azure AI Fundamentals AI 900
    • Preparation for Microsoft Azure Fundamentals (AI-900) certification exam.
    • Understanding the advantages, types, and core components of Azure cloud services with a focus on AI applications.
    • Coverage of cost management, governance, and compliance within a cloud environment.
    • Hands-on learning to build confidence in working with Azure.
    • Comprehensive knowledge to effectively use Azure for AI-driven solutions.
       
  • MS AI: Foundations - Build AI Agents and Extend Microsoft 365 Copilot

    • Explore AI agent fundamentals and Microsoft 365 Copilot architecture
    • Learn to extend Copilot via connectors, Copilot Studio, Azure AI Foundry, and SDKs
    • Compare low-code and pro-code paths to build custom agents for real business use

  • MS AI: Generative AI Literacy
    • Learn ML types: supervised, unsupervised, RL
    • Explore LLMs like ChatGPT, Claude, Gemini
    • Work with image & video tools like DALL·E, Gen-2
    • Understand GANs, transformers, and VAEs
    • Practice prompt engineering for AI chat and search
  • MS AI Workshop: Build with Claude Code, OpenClaw & Claude Design
    • 3-part, hands-on AI workshop series
    • Build workflows and code using Claude Code
    • Design product-grade UI with Claude + Figma MCP
    • Automate end-to-end execution with your own AI assistant using OpenClaw
  • MS AI: Microsoft AI Engineer Capstone

    The capstone project is the culmination of all the skills and knowledge you’ve acquired throughout this program. You will apply AI and machine learning techniques to solve industry-specific challenges. This hands-on project is designed to showcase your expertise in real-world scenarios, giving you a valuable portfolio piece to present to potential employers.

Electives:
  • MS AI: Natural Language Processing (NLP)
    • Gain an in-depth understanding of natural language processing and its application in analyzing vast amounts of language data.
    • Learn how to utilize machine learning algorithms for effective natural language processing.
    • Discover how NLP is a key factor driving AI market growth.
    • Develop the essential skills needed to pursue a career as an NLP Engineer.
       
  • MS AI: Advanced Generative AI
    • Understand the critical role of transformers in modern AI applications.
    • Evaluate the effectiveness of neural networks in performing generative tasks.
    • Distinguish between VAEs, GANs, transformers, and autoencoders, identifying optimal use cases for each model.
    • Assess the impact of attention mechanisms across various generative tasks.
    • Compare GPT and BERT architectures, focusing on their unique objectives and applications in generative AI.
       
  • MS AI: Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen

    Learn directly from Industry experts through live sessions and explore low-code tools like Copilot Studio to accelerate development. Leverage open-source frameworks such as AutoGen and discover how to rapidly deploy agentic AI solutions in real-world business environments.

Contact Us

1-844-532-7688

(Toll Free)

15+ Skills Covered

  • Agentic AI Solutions
  • Generative AI
  • Machine Learning
  • Deep Learning
  • Python
  • Data Science
  • Advanced Statistics
  • LLMs
  • NLP
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Prompt Engineering
  • Transformers
  • Supervised and Unsupervised Learning
  • Exposure to MS Tools and Services

29+ Tools Covered

AIML_PythonAIM_JupyterAIML_VScodeAIML_Google ColabAIML_GitHub CopilotAIML_PandasAIML_NumPyAIML_SciPyAIML_SciKitAIML_SymPyAIML_SeabornAIML_MatplotlibAIM_Date_TimeAIML_KerasAIML_PytorchAIML_TensorFlowAIML_LangChainAIML_Hugging FaceAIM_OpenAIAIM_ChromaAIM_GradioAIM_PyPDFAIM_Dall-EAIM_ChatGPTAIML_NLTKAIM_OpenCVAutoGenMicrosoft Copilot StudioClaude-Dec

Industry Projects

  • Project 1

    Autonomous Driving

    Develop a deep learning model to detect and localize vehicles and analyze autopilot safety.

  • Project 2

    Home Loan Data Analysis

    Develop a model to predict loan default risk using historical data for a secure lending process.

  • Project 3

    Build a Python Adventure Game With GitHub Copilot

    Create a text-based game using Python with AI-assisted coding through GitHub Copilot.

  • Project 4

    Song Classification with Cluster Analysis

    Use cluster analysis to create personalized playlists based on user behavior, improving song recommendations and enhancing customer engagement.

  • Project 5

    Enhancing Tourism With AI

    Build an AI model to classify landmarks and recommend tourist destinations.

  • Project 6

    Analyzing Customer Orders Using Python

    Examine customer order data to identify purchasing patterns, popular products, and high-value customers.

  • Project 7

    Marketing Campaign Analysis

    Perform exploratory analysis and hypothesis testing to understand customer acquisition drivers.

  • Project 8

    Lending Club Loan Data Analysis

    Build predictive models on real-world loan data to assess default risk, effectively handling imbalanced datasets for accurate risk evaluation.

  • Project 9

    AI Powered HR Assistant

    Build an HR assistant using OpenAI GPT and Gradio to answer policy-related questions by extracting data from PDFs for efficient HR support.

  • Project 10

    Creating Designs with OpenAI and Gradio UI

    Create a platform using DALL-E and Gradio UI that transforms text prompts into designs, showcasing AI’s role in digital marketing creativity.

  • Project 11

    Sales Analysis

    Analyze regional sales data to uncover trends and generate insights that inform a data-driven strategy for the upcoming year.

  • Project 12

    Employee Turnover Analytics

    Build ML models to identify factors driving employee attrition and recommend retention strategies.

  • Project 13

    Sales Forecasting

    Predict item sales in restaurants to identify demand trends over the years, enabling better decision-making and strategic planning.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Learn from Industry Experts

Learn from instructors focused to equip you with hands-on skills and industry first curriculum.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring Session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Learn from Industry Experts
Learn from instructors focused to equip you with hands-on skills and industry first curriculum.
Flexi Learn
Mentoring Session(s)
Learning Support

Program Trainers

  • Wenbiao William Zhang

    Wenbiao William Zhang

    15+ years of experience

    Seasoned Research Scientist

  • Isaac Whittaker

    Isaac Whittaker

    10+ years of experience

    Founder & CTO

  • Keino Baird

    Keino Baird

    15+ years of experience

    Chief Operating Officer

  • Abhilash Chauhan

    Abhilash Chauhan

    7+ years of experience

    Data Science Manager

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Services program, offered in partnership with Prentus, is a service that helps you to be career-ready for the workforce and land your dream job in the U.S. markets.
Access to workshops, networking tools, and community support

Access to workshops, networking tools, and community support

Stay on top of your job hunt with a smart tracker and job board

Stay on top of your job hunt with a smart tracker and job board

Build an ATS-friendly resume using the AI Resume Builder

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Practice anytime with the AI-powered Mock Interview Coach

Industry Trends

Generative AI is revolutionizing industries with advanced language models, emphasizing personalization and data-driven solutions. Transforming multiple domains & industries, AI's impact fuels a rising demand for skilled professionals to lead this evolving landscape.

Job Icon$667.9 Bn

Expected Generative AI market size by 2030

Source: Fortune Business
Job Icon24.4%

The global Generative AI market's projected CAGR from 2023-2030

Source: Statista
Job Icon$4.4 Tn

Expected value added by Generative AI to the global economy annually

Source: Mckinsey

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    IT/Software - 42%BFSI - 11%Pharma & Healthcare - 10%Core Industries - 12%Service Sectors - 7%Others - 18%
    Companies
    Microsoft
    Meta
    Apple
    Accenture
    Netflix
    Nvidia
    Deloitte
    PWC
    EY
    Dell
    Citigroup
    Wells Fargo

Alumni Review

My learning experience with Simplilearn was highly valuable in strengthening my AI and data analytics skills. Coming from a non-programming background, I initially found coding challenging, but the structured curriculum, hands-on projects, and practical assignments helped me build confidence in Python, machine learning, and AI engineering. The program also helped me apply AI concepts to real-world consulting projects and improve efficiency in my work across industries.

Haider Tememi

Patient Care AnalystQuest Diagnostics

What other learners are saying

Admission Details

Application Process

The application process consists of three simple steps.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program.

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application.

STEP 3

Start Learning

Selected candidates can join the program by paying the admission fee.

Eligibility Criteria

For admission to the Microsoft AI Engineer Course, candidates should:

Be at least 18 years old and have a high school diploma or equivalent
Preferably have 2+ years of professional experience
Have a basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this program is $2,199

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$2,199

Pay In Installments, as low as

$220/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

Apply Now

Program Benefits

  • Learn AI/ML via a curriculum led by industry experts
  • Gain exposure to 25+ industry-relevant tools and packages
  • Develop industry-ready skills in ML, GenAI and Agentic AI
  • Real-world projects for hands-on practice
  • Dedicated support for AI career growth

Program Cohorts

Next Cohort

Got Questions Regarding Cohort Dates?

AI Engineer Course FAQs

  • Which companies hire AI engineers the most?

    Many leading global and Indian companies are actively seeking skilled AI engineers to drive their AI initiatives. Here are some top companies that are actively hiring:

    • Microsoft

    • Google

    • Amazon

    • IBM

    • Accenture

    • Infosys

    • TCS (Tata Consultancy Services)

    • Wipro

    • Facebook / Meta

    • Apple

    • NVIDIA

  • What is the average salary for an AI engineer?

    The global average salary for an AI engineer ranges from $100,000 to over $200,000 USD, though actual compensation is highly localized. In the US, packages often surpass $250,000 USD, while Indian professionals average ₹10,00,000 to ₹30,00,000+ INR. Total pay depends heavily on geographic location, experience, and specialization.

  • What skills and tools will I learn in the Microsoft AI Engineer course?

    In this AI Engineer course, you'll build practical skills in Python, data science, machine learning, deep learning, generative AI, prompt engineering, natural language processing (NLP), large language models (LLMs), and agentic AI. You'll also learn how to develop, deploy, and optimize AI solutions using Microsoft Azure and AI services.

    The program includes hands-on experience with leading AI tools and frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI, ChatGPT, AutoGen, Microsoft Copilot Studio, GitHub Copilot, and Azure AI. Through labs, industry projects, and a capstone project, you'll apply these technologies to solve real-world AI and automation challenges.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.