• Application closes on

    16 Jun, 2025
  • Program duration

    6 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Earn an Elite Certificate

    Receive a program completion certificate from Michigan Engineering Professional Education.

    Receive a program completion certificate from Michigan Engineering Professional Education.

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    Experience Hands-On Learning

    Build conversational chatbots and drive AI automation through industry-relevant hands-on projects.

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    Work With In-Demand AI Tools

    Build expertise with 15+ modern AI ML tools, including Python, TensorFlow, Numpy, ChatGPT, Zapier.

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    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses, get access to masterclasses and hackathons by IBM experts.

Corporate Training

Enterprise training for teams

Program Overview

Build advanced skills in Python, data science, machine learning, deep learning, NLP, and generative AI with this Professional Certificate in AI and Machine Learning program. Gain practical experience through integrated labs, industry-aligned projects, and a capstone designed to help you solve real-world challenges.

Key Features

  • Earn a program completion certificate from Michigan Engineering Professional Education
  • Secure Michigan Eng Pro-Ed digital badge, powered by Simplilearn after successful program completion
  • Boost your professional profile with three industry-recognized IBM course certificates
  • Attend masterclasses delivered by industry thought leaders and IBM experts
  • Participate in hackathons and Ask-Me-Anything sessions hosted by IBM
  • Engage in 200+ hours of live online sessions led by industry experts
  • Explore generative AI capabilities and learn to build AI applications
  • Gain insights into the latest developments in GenAI, prompt engineering, and more
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Work on 12+ hands-on projects, including 3 capstones across various industries
  • Gain exposure to 15+ tools like ChatGPT, Claude, Descript, Julius.ai, Zapier, and Python
  • Access session recordings 24/7 on Simplilearn’s LMS for a flexible learning experience

Post Graduate Program Advantage

Boost your career with an AI and ML certificate. Develop deep learning, GenAI, and AI automation skills, work on real-world projects, and get industry-recognized credentials. Stay ahead in the AI revolution to unlock top job opportunities.

  • Program Certificate

    Partnering With Michigan Eng Pro-Ed

    • Learn about generative AI to stay ahead of the curve
    • Build and deploy real-time AI-powered applications
    • Understand advanced concepts like agentic AI, GANs & VAEs
  • Digital Badge

    Powered by Simplilearn

    • Earn a joint Michigan Eng Pro-Ed - Simplilearn digital badge
    • Curriculum developed by industry experts and backed by ME_OPE

Program Details

This carefully curated program will lead you towards a successful career in AI and ML. You’ll explore some of the latest advancements in AI, such as ChatGPT and GenAI, create conversational chatbots, learn content generation and LLMs, and more.

Learning Path

  • This induction sets the stage for the program, offered by Michigan Engineering Professional Education, powered by Simplilearn. Start your journey with a comprehensive introduction to the program, covering the curriculum, key objectives, and outcomes.

    • Introduction to Python Programming
    • Python Data Types and Operators
    • Conditional Statements and Loops
    • Error and File Handling
    • Python Functions
       
    • Python fundamentals: strings, Lambda functions, and lists.
    • NumPy for array manipulation 
    • Linear algebra basics
    • Statistical concepts (central tendency, dispersion, skewness, covariance, correlation)
    • Hypothesis testing methods covered: Z-test, T-test, ANOVA, and pandas data manipulation
    • Data visualization skills acquired: Matplotlib, Seaborn, Plotly, and Bokeh libraries
       
    • Machine learning pipeline
    • Supervised learning: regression, classification
    • Experience in unsupervised learning: clustering and ensemble modeling
    • Evaluation of TensorFlow and Keras frameworks
    • Hands-on with PyTorch for recommendation engines
    • Comprehensive understanding of ML approaches & applications
       
    • Explore deep learning vs. machine learning
    • Fundamental concepts & applications covered
    • Neural networks, propagation, TensorFlow 2, and Keras
    • Performance enhancement & model interpretability techniques
    • CNNs, transfer learning, object detection
    • RNNs, autoencoders, PyTorch neural networks
    • Effective building & optimizing models with Keras and TensorFlow
       
    • Transformer Algorithms
    • GANs and VAE
    • ChatGPT Models
    • Large Language Models (LLMs)
    • Neural Networks
    • Image Generation and Video Generation
       
    • Introduction to Generative AI
    • Capabilities of Generative AI
    • Tools for Text Generation
    • Tools for Audio and Video Generation
    • Understand Deep Learning and Large Language Models
    • Introduction to Foundation Models
    • Know about Pre-trained Models: Text-to-Text Generation, Text-to-Image Generation, Text-to-Code Generation
    • Hands-on Lab: Develop AI Applications with the Foundation Models
    • Develop AI Applications for Code Generation
    • IBM watsonx.ai
  • Learn to implement the skills you've gained throughout the program in this capstone project. Solve industry-specific challenges using AI and ML tools to showcase your expertise to potential employers.

Electives:
    • Learn effective AI prompting techniques using ChatGPT, Gemini, and Claude
    • Understand and apply prompt engineering frameworks
    • Optimise outputs by using Chain-of-Thought (CoT) prompting
    • Enhance AI reasoning and accuracy for real-world problem-solving
    • Apply ML algorithms to process large-scale natural language data
    • Explore natural language understanding and feature engineering
    • Study natural language generation and automated speech recognition
    • Learn speech-to-text and text-to-speech conversion techniques
    • Understand how voice assistant devices work
    • Gain deep insight into NLP and speech recognition for advanced applications
    • Dive into generative models like VAEs, GANs, LLMs, and transformers
    • Understand attention mechanisms and their applications
    • Explore LangChain workflow design and advanced prompt engineering
    • Build and refine applications using cutting-edge LLMs for specific tasks
       
    • Participate in live, interactive sessions led by IBM experts
    • Gain essential skills in AI, generative AI, and machine learning
    • Learn strategies to drive innovation in your organisation
    • Stay ahead with knowledge that gives you a competitive advantage
    • Understand the evolution of autonomous AI agents
    • Learn how agents plan, reason, and execute complex tasks
    • Design and build AI-driven agents with minimal human intervention
    • Deploy agentic AI solutions for real-world impact

14+ Skills Covered

  • Generative AI
  • Agentic AI
  • Prompt Engineering
  • Conversational AI
  • Large Language Models LLMs
  • ML Model Training and Optimization
  • ML Model Evaluation and Validation
  • Ensemble Learning
  • Deep Learning
  • Natural Language Processing NLP
  • Speech Recognition
  • Statistics
  • Machine Learning Algorithms
  • Supervised and Unsupervised Learning

16+ Tools Covered

ChatGPTGeminiClaude3DescriptZapierJulius.aiInvideo.aiOtter AIpythontensorflowkerasNLKTNumPyOpen CVScikitLearnMatPlotlib

Industry Projects

  • Project 1

    Expense Tracker Using Python

    Build an expense tracker to log daily costs, categorize spending, and generate reports using Python concepts like data structures, control flow, and functions.

  • Project 2

    Real Estate Pricing

    Use feature engineering to identify the top factors that influence price negotiations in the home buying process.

  • Project 3

    Healthcare Application

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 4

    Song Classification With Cluster Analysis

    Perform cluster analysis to create personalized song playlists for users based on their listening behavior.

  • Project 5

    Financial Institution Modelling

    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

  • Project 6

    AI Recommendation Engine for Marketing

    Use AI to understand the state of historical structures and recommend the best places for tourists to visit for a travel company’s marketing department.

  • Project 7

    Predicting Employee Attrition With Machine Learning

    Build a machine learning model to predict employee attrition by analyzing work habits and factors influencing their desire to stay with the company.

  • Project 8

    Virtual Project Management Consultant

    Develop prompts for ChatGPT to function as a virtual PM consultant, providing advice on project planning, risk management, team collaboration, and performance tracking.

  • Project 9

    Road Safety Analysis of Autopilot Feature

    Analyze accident data involving Tesla’s autopilot feature to assess the impact of autopilot technology on road safety.

  • Project 10

    Sales Strategy Analysis

    Analyze AAL's sales data across different Australian states to identify high-revenue locations and develop sales programs for underperforming states.

  • Project 11

    ChatGPT Based Storytelling

    Design an interactive storytelling tool using ChatGPT to create unique, engaging narratives without coding.

  • Project 12

    Text to Design Platform With DALLE and Gradio

    Create a platform that transforms text prompts into striking designs using OpenAI’s DALL-E and Gradio UI. Explore AI’s impact on digital content creation for marketing.

  • Project 13

    AI Powered Vehicle Detection for Smarter Transport Systems

    Build an AI model using deep learning to detect, classify, and localize vehicles in real-time, aiding AV tech and intelligent transport systems.

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

Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citibank

  • Rocky Jagtiani

    Rocky Jagtiani

    24+ years of experience

    AI and ML Trainer

  • Nikhil Garg

    Nikhil Garg

    16+ years of experience

    Data Science Instructor

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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

Join the AI and ML Industry

AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this program is ideal for individuals aiming to be at the forefront of this transformative trend.

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Insights
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grand View Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

The diversity of learners in our cohorts fosters vibrant classroom discussions and interactions. Our program caters to learners from various sectors and professional backgrounds.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Manufacturing - 20%Software & Product - 13%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    SAP ERP
    Wells Fargo
    Siemens
    IBM
    Netflix
    Amazon
    Bosch
    Deloitte
    JP Morgan Chase
    Microsoft UMass

Admission Details

Application Process

The application process consists of three simple steps:

STEP 1

Submit Application

Briefly outline your education and professional experience.

STEP 2

Reserve Your Seat

Secure your seat by completing the program fee payment.

STEP 3

Start Learning

Begin your learning journey on the designated cohort start date.

Eligibility Criteria

For admission to this Professional Certificate in AI and ML program, candidates should:

Be at least 18 years old and have a high school diploma or equivalent
Have 2+ years of work experience (preferred but not mandatory)
Have a basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this program is $4,300

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

$4,300

Pay In Installments, as low as

$430/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

  • Certificate from Michigan Engineering Professional Education
  • Michigan Eng Pro-Ed digital badge, powered by Simplilearn
  • Comprehensive AI/ML curriculum delivered by industry experts
  • Exposure to GenAI, prompt engineering, ChatGPT, and more
  • In-depth focus on ML algorithms, NLP, LLMs, agentic AI, etc.

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

FAQs

  • What is the Professional Certificate in AI and Machine Learning program?

    This AI and machine learning program, by Michigan Engineering Professional Education in collaboration with IBM, helps learners gain the AI and ML skills organizations across all industries seek today. It covers Python programming, applied data science, machine and deep learning, statistics, generative AI, NLP and speech recognition, agentic AI, and more. 

  • Why should I enroll in an AI and ML program?

    AI and ML skills are in high demand today. Enrolling in and completing an AI and machine learning program demonstrates your commitment to learning and validates your professional skills. This AI ML course provides in-depth training and job-ready skills to help you stand out to employers.

  • What are the key benefits of this AI and ML course?

    The key benefits of this AI and machine learning program include:

    • Learn from a comprehensive course curriculum developed by industry experts and backed by Michigan Eng Pro-Ed
    • Engage in live, interactive online classes led by industry experts
    • Gain insights in masterclasses from IBM experts
    • Get hands-on, industry-relevant training through real-world projects
    • Learn 15+ tools like ChatGPT, Gemini, Claude, Keras, TensorFlow, Python, etc.
    • Earn a program completion certificate from Michigan Eng Pro-Ed
       

  • Is a career in AI and ML a good choice?

    Organizations worldwide are rapidly integrating AI and machine learning into their operations, including finance, sales and marketing, product development and design, software engineering, business intelligence and strategy, and more. They need qualified professionals to build and implement AI/ML solutions to stay competitive in today's fast-paced world. So, skilled AI/ML professionals have plenty of career opportunities.

  • Is there a strong demand for AI and ML professionals?

    In short, there is a high demand for professionals with AI skills. According to the 2024 Work Trend Index Annual Report by Microsoft and LinkedIn:

    • 66% of business leaders say they won’t consider hiring someone without AI skills
    • Top industries adding AI aptitude to job requirements include administrative and support services, real estate, entertainment, retail, professional services, construction, and more.
    • Creative, software, and business professionals are already future-proofing their career prospects with AI skills
       

  • 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.