• Program Fees

    $1,999

    As low as $200/month

  • Application closes on

    10 Jun, 2025

  • Program duration

    6 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Microsoft Advantage

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

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

  • icons
    Robust AI Curriculum

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

  • icons
    Real-World Projects

    25+ projects and a capstone, addressing real-world challenges 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

Enterprise training for teams

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 from Microsoft and Simplilearn
  • Microsoft Learn Badge: Display your achievements on the Microsoft Learn portal
  • 140+ Hours of Core Curriculum: Delivered through live sessions by industry experts
  • Master AI Development: Engage in 25+ projects and a capstone for hands-on application
  • Microsoft Azure AI Fundamentals (AI-900) Preparation: In-depth training for the AI-900 exam
  • Live Masterclass by Microsoft Experts
  • Access Industry-Leading Tools: Gain expertise with Azure OpenAI, Copilot, TensorFlow, and PyTorch
  • AI & ML Specialization: Explore machine learning, deep learning, and prompt engineering
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Implement Deep Learning, GenAI, and Agentic AI through tools like TensorFlow, AutoGen, and Copilot Studio.

Microsoft AI Engineer Program 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 Ceritificate

    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 badge and portal access
    • Microsoft Azure AI-900 exam preparation session

AI Engineer Certification 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

    Welcome to this Microsoft AI Engineer Program, powered by Microsoft and Delivered By Simplilearn, which will help you become an AI Expert.

  • 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.
       
  • MS AI: 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 : Microsoft Copilot Foundations

    • Build copilots using Microsoft Copilot Studio

    • Understand prompt flow and grounding concepts

    • Explore RAG-based Copilot development

    • Analyze bot performance and deployment

  • 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: 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 )

9+ Skills Covered

  • Python
  • Data Science
  • Machine Learning
  • Deep Learning
  • Azure
  • Generative AI
  • Prompt Engineering
  • NLP
  • Transformers

17+ Tools Covered

ChatGPTClaude3UizardMIRODescriptZapierJulius.aiOtter AIpythontensorflowkerasNumPyNLKTMatPlotlibScikitLearnMicrosoft Copilot StudioAutoGen

Industry Projects

  • Project 1

    MLB Digital Platform Enhancement

    Build backend modules for MLB’s platform to manage stats, schedules, and bookings; add multi-threaded reporting to improve load times and user experience.

  • Project 2

    EdTech Backend System

    Create backend modules for SL Tech’s platform, manage learner credentials and courses, enhance user experience, and support interface upgrades.

  • Project 3

    Sales Strategy Analysis

    Analyze sales data by state, identifying top revenue states and guiding sales programs for weaker regions to support expansion decisions.

  • Project 4

    Marketing Strategies with EDA

    Conduct EDA and hypothesis testing to explore customer acquisition factors, enhancing marketing strategies based on behavior and product performance.

  • Project 5

    Predicting Employee Iteration

    Build an ML model for Portobello Tech to predict attrition, analyzing work habits, tenure, and satisfaction levels to inform employee retention strategies.

  • Project 6

    Song Classification with Cluster Analysis

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

  • Project 7

    Home Loan Data Analysis

    Develop a deep learning model to predict loan defaults with imbalanced data, using historical data for a more secure lending process.

  • Project 8

    Lending Club Loan Data Analysis

    Create a deep learning model for Lending Club to predict loan defaults using 2007-2015 data, tackling imbalanced data challenges for risk assessment.

  • Project 9

    ChatGPT Based Storytelling

    Design interactive storytelling with ChatGPT, enabling collaborative narrative building without coding and enhancing creative writing skills.

  • Project 10

    Virtual Project Management Consultant

    Develop prompts enabling ChatGPT to provide project management advice, focusing on planning, risk management, and team collaboration guidance.

  • Project 11

    AI Powered HR Assistant for Nestle Acute

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

  • Project 12

    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.

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

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An Immersive Learning Experience

Peer to Peer Engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

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.

Peer to Peer Engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring Session(s)
Learning Support

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

30-day premium subscription to career.io

30-day premium subscription to career.io

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
    Information Technology - 32%BFSI - 19%Software Product - 13%Healthcare - 11%Retail - 10%Others - 15%
    Companies
    Microsoft
    Meta
    Apple
    Accenture
    Netflix
    Nvidia
    Deloitte
    PWC
    EY
    Dell
    Citigroup
    Wells Fargo

Admission Details

Eligibility Criteria

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

Be at least 18 years old and have a high school diploma or equivalent
Preferably have 2+ years of professional experience, but not mandatory
Have a basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this program is $1,999

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

$1,999

Pay In Installments, as low as

$200/month

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

Program Cohorts

Next Cohort

Other Cohorts

Got questions regarding upcoming cohort dates?

AI Engineer course FAQs

  • What is the Microsoft AI Engineer Program?

    The Microsoft AI Engineer certification is a joint offering by Simplilearn and Microsoft, designed to help professionals build end-to-end AI solutions using Microsoft Azure. The program covers essential skills such as Python programming, machine learning, deep learning, NLP, and generative AI. Learners gain hands-on experience with tools like Azure OpenAI and Copilot, and complete real-world projects to strengthen practical knowledge.

  • Who delivers this program?

    This AI engineer program is delivered by Simplilearn in collaboration with Microsoft. Simplilearn provides expert-led training, live online classes, and hands-on projects, while Microsoft brings in-depth knowledge of its AI technologies and tools. This combined program equips learners with the skills and experience needed to build real-world AI solutions.

  • What certification will I receive after completing the program?

    Once you complete the Microsoft AI Engineer Certification, you’ll earn a joint certificate from Microsoft and Simplilearn. In addition, you’ll receive individual certificates for each module and a Microsoft Learn Badge. These credentials add strong credibility to your resume and validate your skills as a certified AI engineer, making you stand out to employers in the AI and tech industry.

  • What are the program's features?

    This Microsoft AI Engineer Certification is a well-rounded program that combines in-depth learning with real-world application to help you build a successful career in AI. Key features include:

    • 140+ hours of live online classes led by top instructors to build a strong foundation in AI concepts

    • 25+ hands-on projects to help you apply what you learn in real-world scenarios

    • Capstone project that brings together all key concepts and tools to solve a real-world AI challenge

    • AI-900 certification exam prep to boost your credentials and readiness for Microsoft’s official certification

    • Expert-led masterclasses to deepen your understanding of advanced topics in AI

    • Practical experience with leading tools like TensorFlow, PyTorch, and Azure OpenAI

  • Who is eligible to enroll in this program?

    This AI engineer certification program is open to anyone 18 years or older with a high school diploma or equivalent. While no prior experience is required, having a basic understanding of programming and mathematics is recommended to get the most out of the course. It’s an ideal choice for recent graduates, early-career professionals, or anyone looking to transition into the field of artificial intelligence.

  • What tools and platforms will I learn to use?

    Throughout the AI engineer program, you’ll gain hands-on experience with key tools and platforms AI professionals use. These include Python, TensorFlow, PyTorch, and Azure OpenAI for building and deploying AI models. You’ll also explore generative AI tools like ChatGPT, DALL·E, and other cutting-edge Microsoft AI technologies. These tools will prepare you to take on real-world AI projects across different industries.

  • How does this program stand out from other AI courses?

    Unlike standard online AI courses, this AI engineer certification is developed in collaboration with Microsoft, the second largest tech company in the world. The program offers live, expert-led sessions and project-based learning to AI tools like Azure OpenAI, ChatGPT, TensorFlow, and more. Its focus on practical skills, industry relevance, and career readiness makes it a standout choice for anyone serious about building a career in artificial intelligence

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers a wide range of course options to help you upskill in AI and Machine Learning. Whether you're looking for advanced certification training or focused courses to strengthen specific skills, we’ve got you covered. Our programs are carefully curated to deepen your expertise and keep you competitive in the evolving AI & ML landscape.

    Here are some of the key programmes we offer under AI and machine learning:

Related Programs

  • 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.