• Program Fees

    $ 1,999

    As low as $ 200/month

  • Application closes on

    2 Feb, 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

    Master ML, Deep Learning, GenAI, and NLP with relevant tools like Python, TensorFlow, and more.

  • icons
    Real-World Projects

    25+ projects and a capstone, addressing real-world challenges to solidify your AI expertise.

  • icons
    Readiness For The AI-900 Exam

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

Take the first step to your goals

Lifetime access to self-paced e learning content

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

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

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

    • Gain foundational knowledge of procedural and object-oriented programming in Python, including its benefits and setup.
    • Develop skills in using Jupyter Notebook and Python’s IDE for efficient programming.
    • Master Python basics such as data types, operators, loops, and variable scope.
    • Explore object-oriented programming concepts, focusing on methods, attributes, and access modifiers.
    • 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.
       
    • 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.
       
    • 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.
       
    • 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.
       
    • Introduction to Microsoft Copilot and its core functionalities.
    • Create copilots using the Microsoft Copilot Studio interface.
    • Exploration of bot publishing and performance analysis techniques.
    • Building Retrieval Augmented Generation (RAG)-based Copilot solutions and understanding language model grounding.
    • Basics of prompt flow for effective Copilot development.
       
  • 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:
    • Explore foundational concepts in AI and the principles of generative AI.
    • Understand the significance of explainable AI in modern applications.
    • Utilize prompt engineering techniques to optimize generative AI performance.
    • Learn about ChatGPT's structure, functionalities, limitations, and diverse applications.
    • Gain insights into the future landscape and potential challenges of generative AI.
       
    • 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.
       
    • 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.
       
  • Attend live online sessions by Microsoft industry experts to gain insights into the latest advancements in AI.

9+ Skills Covered

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

15+ Tools Covered

ChatGPTClaude3UizardMIRODescriptZapierJulius.aiOtter AIpythontensorflowkerasNumPyNLKTMatPlotlibScikitLearn

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 to help 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

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

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.

  • 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, ClimbCredit or Klarna payment option with low APR and no hidden fees.

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      17 Feb, 2025

      09:00 CST

    • Regular Classes

      22 Feb, 2025 - 9 Nov, 2025

      08:30 - 11:30 CST

      WeekendSaSu

Got questions regarding upcoming cohort dates?

AI Engineer course FAQs

  • What is the Microsoft AI Engineer Program?

    The program provides a comprehensive curriculum to equip learners with end-to-end AI expertise. It covers foundational skills like Python programming and data science, advanced topics such as machine learning, deep learning, and generative AI, and specialized modules on NLP and Microsoft Copilot development.

  • Who delivers this program?

    The program is delivered by Simplilearn and powered by Microsoft, combining Microsoft’s industry-leading expertise with Simplilearn’s advanced learning methodologies.

  • What certification will I receive after completing the program?

    Learners will earn a prestigious certificate from Microsoft and Simplilearn upon completion, as well as individual course certificates for each module. A Microsoft Learn Badge is also awarded to showcase achievements.

  • What are the program's features?

    The program includes 140+ hours of live instruction, 25+ hands-on projects, a capstone project, AI-900 certification preparation, masterclasses by Microsoft-certified experts, and access to industry-leading tools like TensorFlow, PyTorch, and Azure OpenAI.

  • Who is eligible to enroll in this program?

    Candidates must be at least 18 years old with a high school diploma or equivalent. While prior professional experience is preferred, it is not mandatory. Basic programming and mathematics knowledge is recommended.

  • What tools and platforms will I learn to use?

    Learners will gain hands-on experience with tools and platforms such as Python, TensorFlow, PyTorch, Azure OpenAI, ChatGPT, DALL-E, and other cutting-edge AI technologies.

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

    This program stands out by combining Simplilearn’s pedagogical expertise with Microsoft’s industry insights, offering certifications, hands-on projects, and real-world applications that prepare learners for impactful AI roles.

  • 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.