• Application closes on

    4 Jan, 2025

  • Program duration

    11 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Purdue’s Academic Excellence

    Program completion certificate from Purdue University and Simplilearn

    Program completion certificate from Purdue University and Simplilearn

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    IBM’s Industry Prowess

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

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    Exposure to latest AI trends

    Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more

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    Hands-on Experience

    Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

Corporate Training

Enterprise training for teams

AIML Certifcation Overview

The AI and ML Certification in Toronto focuses on reinforcement learning, statistics, Python, deep learning networks, NLP, and the application of machine learning techniques. This AI and ML Course in Toronto will help you deploy deep learning models on the cloud through AWS SageMaker, build Alexa skills and much more.

Key Features

  • Program completion certificate from Purdue University and Simplilearn
  • Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
  • Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
  • Core curriculum delivered in live classes by industry experts
  • 3 capstones and 25+ hands-on projects from various industry domains
  • Live-online masterclasses delivered by Purdue faculty and IBM experts
  • Access to Purdue’s alumni association membership on program completion
  • Exclusive hackathons and Ask Me Anything sessions by IBM
Key Features
Program completion certificate from Purdue University and Simplilearn
Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
Core curriculum delivered in live classes by industry experts
3 capstones and 25+ hands-on projects from various industry domains
Live-online masterclasses delivered by Purdue faculty and IBM experts
Access to Purdue’s alumni association membership on program completion
Exclusive hackathons and Ask Me Anything sessions by IBM

AI ML Certification Advantage

Our curriculum equips you with the skills and knowledge to excel in your career. With a structured learning approach and industry-relevant projects, you will be able to tackle complex challenges and stay at the forefront of this field.

  • Program Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue University Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Access to Ask Me Anything sessions and Hackathons

AI ML Certification online Details

Through the various modules provided in this carefully curated AI and ML program, you will be on your way toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space such as ChatGPT, generative AI, and explainable AI among others

Learning Path

  • PG AIML - Program Induction

    Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.

  • PG AIML: Programming Refresher
    • Procedural & OOP understanding
    • Python's Advantages Exploration
    • Jupyter Notebook utilization
    • Implementing identifiers, indentations, comments
    • Python data types, operators, strings
    • Mastery of Python loops
    • OOP principles comprehension
    • Methods, attributes, access modifiers insight
  • PG AIML - Python for Data Science (IBM)
    • IBM-designed course on Python for data science.
    • Python scripting proficiency.
    • Hands-on data analysis using Jupyter Lab.
  • PG AIML - Applied Data Science with Python
    • Python fundamentals emphasized: 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
  • PG AIML - Machine Learning
    • Studying the 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.
  • PG AIML - Deep Learning with TensorFlow (IBM)
    • Elevate ML skills with deep learning.
    • Learn TensorFlow and Keras.
    • Proficiency in deep learning concepts.
    • Construct artificial neural networks.
    • Navigate data abstraction layers.
    • Unlock data potential for AI advancements.
  • PG AIML - Deep Learning Specialization
    • Explore deep learning vs. machine learning.
    • Fundamental concepts & applications covered.
    • Topics include 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.
  • PG AIML - Essentials of Generative AI, Prompt Engineering & ChatGPT
    • AI areas: generative AI, prompt engineering, and ChatGPT.
    • Practical learning: Gain hands-on experience to utilize these technologies
    • Focus on prompt engineering: Understand its significance in producing specific outputs.
    • Comprehensive insights: Learn how to leverage AI advancements for practical business solutions.
  • PG AIML - Capstone Project

    Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.

Electives:
  • PC DS: Academic Masterclass by Purdue University Online

    Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Industry Masterclass by IBM

    Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}

  • PG AIML - ADL & Computer Vision
    • Advanced computer vision & deep learning.
    • In-depth knowledge & practical skills focus.
    • Topics: image formation, CNNs, object detection.
    • Image segmentation, generative models.
    • Optical character recognition covered.
    • Distributed & parallel computing.
    • Explainable AI (XAI) exploration.
    • Deep learning model deployment skills.
  • PG AIML - NLP and Speech Recognition
    • Advanced ML algorithms for language data.
    • Focus on natural language understanding.
    • Feature engineering exploration.
    • Natural language generation skills.
    • Automated speech recognition is covered.
    • Speech-to-text, text-to-speech conversion.
    • Voice assistance device development.
    • Building Alexa skills emphasis.
  • PG AIML - Reinforcement Learning
    • RL core concepts exploration.
    • Problem-solving skills in RL.
    • Strategies in Python, TensorFlow.
    • Theoretical RL foundations learning.
    • Practical RL algorithm application.
    • Proficiency in diverse applications.
    • Effective use of RL in scenarios.
  • PG AIML - Advanced Generative AI
    • Transformer role in modern AI comprehension.
    • Neural networks for generation tasks analysis.
    • Different generative model types: VAEs, GANs, transformers, autoencoders.
    • Appropriate scenarios for diverse AI models.
    • Attention mechanisms' role and efficacy.
    • Analyzing popular generative models: GPT, BERT.
    • Contrasting model architectures and objectives.

Contact Us

1-844-532-7688

( Toll Free )

16+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Machine Learning Algorithms

13+ Tools Covered

ChatGPTMidjourneyDalle.2pythontensorflowkerasNLKTScikitLearnMatPlotlibAmazon SagemakerkubernetesAlexaFlask

Industry Project

  • Project 1

    Ecommerce

    Develop a shopping app for an e-commerce company using Python.

  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

  • Project 4

    Production

    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

  • Project 5

    Real Estate

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

  • Project 6

    Entertainment

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

  • Project 8

    Shipping

    Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

  • Project 9

    BFSI

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

  • Project 10

    Healthcare

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 11

    Healthcare

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

  • Project 12

    Automobile

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

  • Project 13

    Tourism

    Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.

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

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Program Advisors and Trainers

Program Advisors

  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Rocky Jagtiani

    Rocky Jagtiani

    24+ years of experience

    AI and ML Trainer

  • Nikhil Garg

    Nikhil Garg

    16+ years of experience

    Data Science Instructor

  • Nitin Gujral

    Nitin Gujral

    15+ years of experience

    Founder at Cramlays

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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 striving to stay ahead 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

These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    course learners from SAP ERP, Toronto
    course learners from Godrej & Boyce, Toronto
    course learners from Wells Fargo, Toronto
    course learners from Accenture, Toronto
    course learners from ExxonMobil, Toronto
    course learners from Target, Toronto
    course learners from Boeing, Toronto
    course learners from Siemens, Toronto
    course learners from Infosys, Toronto
    course learners from All India Institute of Medical Sciences, Toronto
    course learners from Hewlett-Packard, Toronto
    course learners from IBM, Toronto
  • Work Experience
    The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%
    Total Years of Experience
    Less than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
  • Educational Background
    The class has learners with varied educational qualifications from excellent institutions
    Qualification
    Bachelors - 65%Masters - 30%Others - 5%
    Universities
    course learners from BITS Pilani, Toronto
    course learners from IIT Hyderabad, Toronto
    course learners from IIIT Allahabad, Toronto
    course learners from McGill University, Toronto
    course learners from IIT Bombay, Toronto
    course learners from IIM Kozhikode, Toronto
    course learners from University of Illinois at Chicago, Toronto
    course learners from AIIMS, Toronto
    course learners from NIT Calicut, Toronto
    course learners from NIT Rourkela, Toronto
    course learners from IIM Lucknow, Toronto
    course learners from IIM Indore, Toronto

Alumni Reviews

The certification helped me join a marketing firm as a consultant. I also got a promotion from a temporary to a permanent position at my university with a 35% increment in my salary.

Anthony Palomba

Assistant Professor

What other learners are saying

Admission Details

Application Process

Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.

STEP 1

Submit Application

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

Selected candidates start the AI and ML Course in 1-2 weeks

Eligibility Criteria

Admission to this Post Graduate Program in AI ML Course requires:

2+ years of work experience preferred
A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this AI and ML Course is C$ 5,200. It covers applicable program charges and Purdue Alumni Association membership.

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

C$ 5,200

Pay In Installments, as low as

C$ 520/mo

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Apply Now

Program Benefits

  • Program certificate from Purdue University and Simplilearn
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Understand the applications of prompt engineering
  • Purdue Alumni Association Membership eligibility
  • Rigorous curriculum delivered by industry experts

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Post Graduation in AI and ML FAQs

  • What is the AI and ML Course fees?

    Simplilearn's AI ML course fee is cost-effective compared to full-time on-campus university post-graduate degree programs. We also offer easy financing options so that you don't have to pay the entire fee at once. Check out our AI and ML course fees below:

    CourseModePrice
     Professional Certificate Program in AI and Machine Learning Online Rs.2,85,000

  • What kind of credential will I get after finishing these AI ML courses?

    Simplilearn and Purdue University will grant you a PCP in AI and Machine Learning joint certification when you complete the AI and ML certification program. After completing the modules on the learning path of ML AI Course, you will get industry-recognized credentials from IBM and Simplilearn.

  • What kind of certification will I get after finishing the AI and ML Course?

    Simplilearn and Purdue University will grant you a joint certification in the Post Graduate Program in AI and Machine Learning when you complete the AI and ML certification course. After completing the modules on the AI and ML Course learning path, you will get industry-recognized credentials from IBM and Simplilearn.

  • What is AI and Machine Learning?

    Artificial Intelligence technology (AI) is the study and development of computer science that can perform tasks previously limited to human intelligence, such as decision-making and voice recognition. Machine Learning (ML) is a related field that teaches computers how to learn and adapt without explicit programming. These two fields are closely related and are at the forefront of technological advancements, making them highly in demand. As a result, obtaining an Artificial Intelligence ML Course can offer students great potential for their career growth.

  • What are the eligibility requirements for the Purdue University-led AI and ML Course?

    You must meet the following requirements to be admitted to the Artificial Intelligence and ML Course online:

    • A bachelor's degree/credential with a grade point average of at least 50%
    • Understanding the fundamentals of coding and math.
    • Two years or more of work experience (preferred)

  • What are the financial aids available to enroll in this AI and Machine Learning Course?

    We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.

  • What is the application procedure for this AI & ML Course?

    This Artificial Intelligence ML Course has a three-step application process:

    • All interested applicants must apply online for the AI & ML Course using the application form.
    • Candidates will be shortlisted by an admissions panel based on their application.
    • The shortlisted candidates will be offered admission, which they must accept by paying the Artificial Intelligence ML Certification program cost.

  • What roles do Purdue University and IBM play in Simplilearn's AI and ML Course?

    This comprehensive Artificial Intelligence and ML course has been developed in collaboration with Purdue University and IBM, with the aim of providing optimal learning opportunities throughout the program. An experienced Purdue University faculty member will be providing guidance and support as you delve into the world of AI. Additionally, Purdue academics and IBM professionals will conduct masterclasses to help you acquire a deeper understanding of AI ML concepts.

  • What can I anticipate from this Purdue AI ML Certification?

    You will receive the following as part of this IBM-sponsored AIML Course:

    • Dual Credential: Simplilearn and Purdue University
    • IBM and Simplilearn both provide industry-recognized certificates.
    • Alumni status at Purdue University
    • Simplilearn delivers unlimited access to all of its e-learning courses.
    • Comprehensive curriculum with a wide array of AI tools and technologies such as Chat GPT, Django, Flask, Keras, and many more
    • Access to dedicated live classes covering some of the latest updates in the AI space such as generative AI, GPT, ChatGPT, and more

  • After completing the AI and ML Course, can I be considered a Purdue University alumnus?

    After completing this Artificial Intelligence and ML Certification Course, you will be eligible for the Purdue Alumni Association membership.

  • Why should you take an AI and ML course with Simplilearn?

    Simplilearn and Purdue University have teamed up to provide you with an incredible learning experience. The simplicity and comfort of a digital channel meet the elevated classroom setting. You will acquire 30+ tools and skills in this AI ML certification course, receive masterclasses from Purdue experts, and complete capstone and other industrial projects. And it all happens in a cohort setting, where you learn quicker and more effectively with other similarly motivated professionals.

  • What are some of the topics and areas that will be covered in the masterclasses?

    The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered include:

    • Generative AI and its Applications
    • Leveraging the power of generative modeling to build innovative products 
    • OpenAI and its Role in NLP and AI
    • Building and deploying GPT-powered applications
    • Demystifying ChatGPT, its architecture, training methodology, and business applications
    • ChatGPT best practices, limitations, and avenues for future development
    • Building real-world applications with the OpenAI API and ChatGPT 
    • Applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
    • Explainable AI
    • Chatbots and their uses in companies such as Microsoft, Google, Meta etc.  
    • Latest trends in the AI space 

    *Areas mentioned above are subject to change  

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.