• Next cohort Starts21st Mar, 2026
  • Next cohort Starts21st Mar, 2026
  • Program Duration6 months At 5-10 hours/week
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

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    Structured AI Curriculum

    Learn Data Science, ML, Deep Learning and Azure AI Deployment

    Learn Data Science, ML, Deep Learning and Azure AI Deployment

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    Applied Data Science Skills

    Use NumPy, Pandas, Matplotlib, Seaborn & Scikit-learn for data analysis and visualization

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    End-to-End ML & DL Learning

    Learn supervised/unsupervised ML, ensembles, neural networks, CNNs with TensorFlow & PyTorch

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    Hands - on Learning

    Learn hands-on with projects on EDA, loan insights, MNIST optimization and more

Program Overview

This program equips you with the skills to become an AI Engineer. Start your learning with Python essentials, advance into applied data science, build a strong foundation in deep learning, and explore real-world AI applications using Azure — through a blend of live classes and self-paced learning.

Key Features

  • 100+ Hours of Applied Learning
  • Live and Self-Paced Learning Format
  • Official Microsoft Azure Content & Module Certificates
  • Hands-On ML & Deep Learning Projects
  • AI-Powered Development Tools
  • End-to-End AI Solution Deployment on Azure
  • Top AI Libraries coverage(TensorFlow, PyTorch, Pandas & Scikit-Learn)

Post Graduate Program Advantage

This program combines Python, applied data science, machine learning, deep learning, and Azure-based AI solution development. Learners build real-world skills via structured modules, course end and capstone projects, aligned to industry needs.

  • Program Ceritificate

    Simplilearn Powered Certificate

    • Certificate of Completion from Simplilearn

Learning Path

Start learning with a Python refresher, advancing to applied data science and machine learning models. Build expertise in deep learning and deploying AI solutions on Azure. These include lessons covering fundamentals, model development, evaluation, optimization, and solution deployment.

Learning Path

Electives:

    Contact Us

    1-844-532-7688

    (Toll Free)

    22+ Skills Covered

    • Programming foundations
    • Python basics
    • Data structures
    • Conditional statements
    • Loops
    • Python
    • Object Oriented Programming OOP
    • File handling
    • Error handling
    • Debugging
    • AIassisted coding and documentation
    • Data manipulation and analysis
    • Data visualization
    • Exploratory Data Analysis EDA
    • Regression
    • Ensemble methods
    • Model evaluation
    • Hyperparameter tuning
    • Deep learning
    • Object detection
    • Model optimization
    • AI solution development using Azure

    14+ Tools Covered

    pythonNumPypandasMatPlotlibSeabornScikitLearntensorflowkerasPyTorchGitHub CopilotAmazon CodeWhispererOpen AIVisual Studio Code (VS Code)JUPYTER

    Projects

    • Project 1

      Project Analyzing Customer Orders Using Python

      Analyze customer orders using Python structures to classify products, find buying patterns, spot high-value customers, and generate insights using lists, tuples, dicts, sets etc.

    • Project 2

      Building a Python Adventure Game with GitHub Copilot

      Build a text-based adventure game using Python and GitHub Copilot, applying variables, lists, loops, conditionals, and functions while reinforcing core Python skills interactively.

    • Project 3

      Sales Analysis

      Analyze Q4 Australia sales data state-by-state and generate insights to help the company make informed, data-driven decisions for the upcoming year.

    • Project 4

      Marketing Campaigns

      As a data scientist you must conduct exploratory data analysis and hypothesis testing to enhance your comprehension of the diverse factors influencing customer acquisition.

    • Project 5

      Employee Turnover Analytics

      As an ML Developer, run data checks, drive employee turnover, cluster excited employees, handle imbalance with SMOTE, train models, and suggest retention strategies.

    • Project 6

      Home Loan Data Analysis

      Build a deep learning model to predict loan default using past data. Work with a highly imbalanced dataset and many features to create a reliable, secure lending prediction system.

    • Project 7

      Lending Club Loan Data Analysis

      Build a deep learning model to predict loan defaults using Lending Club data (2007–2015). Work with a highly imbalanced dataset and features to tackle this challenging problem.

    • Project 8

      Creating Cohorts of Songs

      Perform EDA and cluster analysis to group songs into meaningful cohorts and identify the key factors that define each cluster.

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

    prevNext

    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

    Financing

    The admission fee for this program is $4,000

    Total Program Fee

    $4,000

    20% off

    $5,000

    Pay In Installments, as low as

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

    Enroll now

    FAQs

    • Who is this program designed for?

      This program is open to learners aged 18+ with a high school diploma or equivalent. No prior experience is required, though basic programming and math knowledge is recommended. Ideal for graduates, early professionals, or those transitioning into artificial intelligence.

    • Do I need prior knowledge of AI or machine learning?

      No prior AI experience is required. The learning journey starts with Python fundamentals and progressively builds toward applied Data Science, Machine Learning, Deep Learning, and Azure-based AI deployment.

    • What will I learn in this program?

      You’ll learn the complete AI solution lifecycle — from Python, data handling, and ML/DL model development to deploying production-ready solutions on Microsoft Azure.

    • What hands-on skills will I gain?

      You will work on:

      • Data analysis & visualization using NumPy, Pandas, Matplotlib & Seaborn
      • ML models — regression, classification, recommendations, evaluation & tuning
      • Deep Learning — CNNs, transfer learning & object detection
      • Azure AI solution development and deployment
      • AI-enhanced coding using tools like GitHub Copilot & CodeWhisperer

    • What tools will I master during the program?

      Some tools covered as part of the curriculum include:
      Python, VS Code, Jupyter Notebook, NumPy, Pandas, Seaborn, Scikit-Learn, TensorFlow, Keras, PyTorch, GitHub Copilot, CodeWhisperer, and Microsoft Azure.

    • How is this program delivered?

      It includes both live interactive classes and self-paced learning, allowing flexibility to learn on your schedule. All live classes are available to watch later on-demand.

    • Does the program include real-world projects?

      Yes — each module includes guided hands-on exercises and capstone work, including machine learning and deep learning industry-style projects.

    • Will completing Azure modules give me certification?

      Yes — you will earn official Microsoft Azure certificates for the completed online learning modules in the Azure section.

    • How long is the program?

      The program offers 100+ hours of applied learning across concepts, hands-on exercises, and Azure solution development.

    • What career roles can this program prepare me for?

      Upon completion, you’ll be skilled for roles such as(but not limited to):

      • AI Engineer
      • Machine Learning Engineer
      • Data Science Engineer
      • Cloud + AI Developer
      • Deep Learning Specialist
         

    • 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.