• Admission Date

    Announcing Soon
  • Program Duration

    20 weeks (8-9hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Earn a Prestigious Certificate

    Showcase your expertise with a program completion certificate from Cal Poly EPaCE and Simplilearn

    Showcase your expertise with a program completion certificate from Cal Poly EPaCE and Simplilearn

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    Earn IBM Credentials

    Earn globally recognized IBM certificates upon completing the IBM courses

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    Gain Hands-On Experience

    Work on 10+ projects, including 3 capstones, solving real-world challenges across industries

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    Master 14+ Industry Tools

    Learn Python, TensorFlow, Keras, PyTorch, Pandas, NumPy, OpenCV, and more in-demand tools

Corporate Training

Enroll your employees into this program, NOW!

Professional Certificate in AIML Overview

Advance your AI career with Cal Poly EPaCE's Professional Certificate Program in Machine Learning and Artificial Intelligence, in collaboration with IBM, powered by Simplilearn. Learn Python, TensorFlow, Keras, PyTorch, and more through live expert-led sessions and hands-on projects.

Key Features

  • Earn a program completion certificate from Cal Poly EPaCE and Simplilearn, showcasing your academic and industry-aligned expertise in AI and machine learning
  • Gain industry-recognized IBM certificates upon completing IBM courses
  • Participate in IBM industry masterclasses to explore real-world AI and ML use cases, guided by IBM experts
  • Join hackathons and “Ask Me Anything” sessions hosted by IBM to apply your learning, solve practical problems, and interact with industry professionals
  • Gain hands-on experience through 10+ real-world projects, including 3 capstones across diverse industry domains, to build a strong professional portfolio
  • Master 14+ in-demand tools, including Python, Pandas, NumPy, TensorFlow, Keras, OpenCV, Scikit-learn, PyTorch, and more
  • Engage in 100+ hours of live, interactive online sessions led by industry experts, ensuring an immersive learning experience
  • Learn end-to-end machine learning and deep learning workflows, from supervised and unsupervised learning to CNNs, RNNs, and transformers
  • Explore generative AI with IBM through guided practice using LLMs, GANs, and tools like ChatGPT, Hugging Face, and IBM watsonx.ai
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Receive personalized career support with AI-powered resume and LinkedIn tools, mock interviews, job tracking, and career workshops

Professional Certificate in AIML Advantage

Gain industry-aligned AI and ML expertise through Cal Poly EPaCE’s Learn by Doing approach. From foundational Python skills to advanced GenAI techniques, this program helps professionals stay future-ready in today’s evolving tech landscape.

  • Program Certificate

    Certificate 1

    • Earn an industry-recognized certificate from Cal Poly EPaCE and Simplilearn
    • Gain expertise in AI, ML, Python, Deep Learning, and GenAI
    • Build real-world skills through hands-on projects and capstones
  • Industry Certificate

    Certificate 2

    • Earn IBM course completion certificates
    • Attend live masterclasses by IBM experts
    • Participate in hackathons & Ask Me Anything sessions

Professional Certificate in AIML Details

The Professional Certificate Program in Machine Learning and Artificial Intelligence helps you master Python, ML, deep learning, and GenAI through real-world projects and capstones designed to prepare you for high-impact AI careers.

Learning Path

  • Begin your learning journey with an orientation that familiarizes you with the course structure, platform, and support system. Understand the program outcomes, explore available tools, and prepare to begin your hands-on learning path in AI and Machine Learning.

    • Coordinate Geometry Fundamentals and Key Formulas
    • Calculus Basics: Differential and Integral Concepts
    • Statistics Foundations: Population vs Sample and Types of Statistics
    • Understanding Data: Types, Sources, and Data Quality
    • Descriptive Statistics: Central Tendency, Dispersion, and Z-Score
    • Probability Distributions: Discrete and Continuous Distributions
    • Inferential Statistics and applications: Hypothesis and Regression analysis
    • Programming Foundations
    • Exploring Python Development Environment
    • Python Basics: Syntax, Structure & Execution
    • Python Variables and Data Types and Python Operators
    • Data Structures: Lists, Tuples, Dictionaries, Sets
    • Python Functions and Their Advantages
    • Object-Oriented Programming
    • File and Error Handling in Python
    • AI-Powered Code Generation
    • Writing Effective AI Prompts
    • Introduction to Data Science
    • Python Packages for Data Science
    • Fundamentals of NumPy
    • Linear Algebra
    • Maths & Statistics Fundamentals
    • Probability Distributions
    • Advanced Statistics
    • Working With Pandas
    • Data Analysis, Wrangling, and Visualization
    • Feature Engineering
    • End-to-End Statistics Application in Python
       
    • Introduction to Machine Learning
    • Supervised Learning: Regression and Its Application
    • Supervised Learning: Classification and Its Applications
    • Ensemble Learning: Simple & Advanced Techniques
    • Unsupervised Algorithms: Clustering, Dimensionality Reduction, Anomaly Detection
    • Introduction to the Recommendation System
       
    • Overview of Deep Learning Specialization
    • Introduction to Deep Learning
    • Artificial Neural Network & Deep Neural Networks
    • TensorFlow
    • PyTorch
    • Model Optimization and Performance Improvement
    • Convolutional Neural Networks
    • Transfer Learning
    • Object Detection
    • Recurrent Neural Networks (RNN)
    • Transformer Models for NLP
    • Getting Started With Autoencoders
       
    • Introduction to Generative AI & Role of LLMs
    • Application of GenAI and Industry Use Cases
    • Generative AI Models and Tools
    • Hands-On Practice & Guided Labs
    • Expert Insights on Generative AI
       
    • Deep Learning and Large Language Models
    • Generative AI Models
    • Foundation Models
    • Pre-trained Models: Text-to-Text, Text-to-Image, Text-to-Code
    • IBM watsonx.ai: generative AI for Business
    • Hugging Face: Open Source  Generative AI
    • Course Quiz, Project, and Wrap-up
       
    • Real-world projects integrating concepts learned across Python, data science, machine learning, deep learning, and generative AI
    • Guided by industry experts, work on projects such as building an AI-powered vehicle detection and classification system or creating a sales forecasting model for a retail analytics use case
    • These projects involve real-world techniques like CNN-based object detection, time series analysis, feature engineering, and model evaluation
    •  Develop a portfolio-worthy project that demonstrates your job readiness to potential employers
       
    • Artificial Intelligence
    • Generative AI
    • Introduction to Prompt Engineering
    • Prompting Techniques: Zero-Shot & Few-Shot Prompting
    • Prompt Engineering Frameworks
    • Prompt Engineering Tools
    • Practitioner Insights on Writing Impactful Prompts
       
    • As part of the program, you will attend a live industry masterclass led by IBM experts.
    • This interactive session gives you a front-row seat to explore how cutting-edge AI and machine learning technologies are applied in real-world scenarios.
    • You’ll gain insights into emerging trends and industry best practices, and practical applications that can help you stay ahead in this rapidly evolving field.
    • Step into the future of AI with this masterclass on AI agents, systems that can plan, reason, and execute complex tasks with minimal human input.
    • Learn how to design and build AI-driven agents that take automation and decision-making to the next level

12+ Skills Covered

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

21+ Tools Covered

AIML_PythonAIML_VScodeAIML_PandasAIML_NumPyAIML_SciKitAIML_MatplotlibAIML_SeabornAIM_SciPyAIML_TensorFlowAIML_KerasAIM_PytorchAIM_OpenCVNLTKAIM_Date_TimeAIM_ChatGPTHugging FaceAIM_Dall-ESympyLogoCal_IBM watsonxCal_Stable diffusionCal_Synthesia

Industry Projects

  • Project 1

    Analyzing Customer Orders Using Python

    Analyze customer orders to structure, store, and manipulate data for generating key business insights.

  • Project 2

    Building a Python Adventure Game

    Build a text-based adventure game using Python fundamentals, control flow, and functions to create interactive gameplay.

  • Project 3

    Sales Analysis

    Analyze company sales data to identify patterns, generate reports, and derive insights supporting better business decisions.

  • Project 4

    Marketing Campaigns

    Conduct exploratory data analysis and hypothesis testing to extract insights and measure the effectiveness of marketing campaigns.

  • Project 5

    Employee Turnover Analytics

    Analyze HR data and build models to identify employee churn patterns and create effective retention strategies.

  • Project 6

    Creating Cohorts of Songs

    Perform exploratory data analysis and clustering to group songs and identify the factors influencing key trends.

  • Project 7

    Home Loan Data Analysis

    Build a deep learning model to predict loan default probability using historical and imbalanced financial datasets.

  • Project 8

    Lending Club Loan Data Analysis

    Build machine learning models to predict loan default risk and help financial institutions reduce exposure.

  • Project 9

    Autonomous Driving

    Build a deep learning model to classify and localize vehicles in images, and analyze autopilot usage and its impact on road safety.

  • Project 10

    Preserving Heritage Enhancing Tourism with AI

    Develop an AI model to categorize structures from images and create a recommendation engine to guide tourists to places of interest.

  • Project 11

    Sales Forecasting

    Forecast restaurant item sales using historical data to improve demand planning and decision-making.

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

  • Bassel Dakallah

    Bassel Dakallah

    15+ years of experience

    Data Analytics & Engineering Leader

  • Cristopher Patvakanian

    Cristopher Patvakanian

    7+ years of experience

    Harvard Alum | Author | Data Scientist

  • Ashutosh Malgaonkar

    Ashutosh Malgaonkar

    13+ years of experience

    Principal Data Scientist

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Services program, offered in partnership with Prentus, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
Access to workshops, networking tools, and community support

Access to workshops, networking tools, and community support

Stay on top of your job hunt with a smart tracker and job board

Stay on top of your job hunt with a smart tracker and job board

Build an ATS-friendly resume using the AI Resume Builder

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Practice anytime with the AI-powered Mock Interview Coach

Join the Industry: Career Outlook

The demand for AI and ML professionals is rising rapidly as companies invest in automation, data-driven decision-making, and generative AI. Skilled experts are commanding higher salaries, faster promotions, and a broader range of career opportunities across industries.

Job Icon$214,227

Average annual pay for AI Engineers

Source: Built In
Job Icon800%

Growth in Generative AI job postings since 2022

Source: CNBC/Lightcast
Job Icon$3.49T

AI market projection by 2033, with 31.5% CAGR

Source: Grand View Research

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 - 43%Software & Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    SAP
    Wells Fargo
    Siemens
    IBM
    Netflix
    Amazon
    Microsoft
    Bosch
    Deloitte
    JPMorganChase

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 Program in AI and ML, candidates should:

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

Admission Fee & Financing

The admission fee for this program is $3,750

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

$3,750

Pay In Installments, as low as

$375/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

  • Build job-ready skills in AI, ML, deep learning, and GenAI
  • Gain hands-on experience with 10+ industry projects
  • Learn 14+ tools, including Python, TensorFlow, and Keras
  • Earn a program certificate from Cal Poly EPaCE & Simplilearn
  • Learn from industry experts and IBM experts

Program Cohorts

There are no cohorts available in your region currently

Got Questions Regarding Cohort Dates?

Professional Certificate in AIML FAQs

  • What is the Professional Certificate Program in Machine Learning and Artificial Intelligence by Cal Poly EPaCE?

    Cal Poly EPaCE’s Professional Certificate Program, in collaboration with IBM, powered by Simplilearn, helps you build industry‑ready skills like Python, applied data science, machine learning, deep learning, generative AI, LLMs, prompt engineering, and more, through a rigorous, hands‑on 20‑week curriculum with real‑world projects and capstones.

  • Who should enroll in this AI and Machine Learning program?

    This program is designed for early to mid‑career professionals in IT, software, data, and engineering, as well as leaders and entrepreneurs who want to upskill in AI/ML and apply these capabilities to solve business problems.

  • What are the key learning outcomes of this Professional Certificate Program?

    By the end of this course, learners will be able to build ML models and neural networks, work with CNNs, RNNs, transformers, and foundation models, and apply transfer learning and prompt engineering. They can also implement generative AI solutions, supported by a portfolio of three capstones and multiple projects.

  • What are the tools and technologies I’ll master in this course?

    Learners can gain experience with tools such as Python, NumPy, Pandas, SciPy, scikit‑learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, and NLTK, alongside platforms such as IBM watsonx.ai and Hugging Face.

  • What topics are covered in the AI and Machine Learning curriculum?

    The curriculum consists of Python programming, applied data science, supervised and unsupervised learning, recommendation systems, deep learning (including CNNs, RNNs, and transformers), LLMs and GANs, diffusion and foundation models, and prompt engineering.

  • Are there any live classes or only self-paced sessions?

    The program includes more than 100 hours of live, interactive online sessions with industry experts, IBM industry masterclasses, hackathons, and ask-me-anything sessions.

  • What type of real-world projects are included in this AI ML program?

    Learners must complete over ten applied projects, including 3 capstone projects: vehicle detection and safety analytics, tourism recommendations, sales forecasting, HR attrition analysis, loan default prediction, and marketing and e‑commerce analytics.

  • Will I receive guidance from mentors or industry experts during projects?

    Yes, you will get support through live sessions by industry experts and masterclasses IBM experts, with capstones guided by industry practitioners.

  • What certificate will I receive after completing the program?

    Learners will receive a program completion certificate from Cal Poly EPaCE and Simplilearn, and IBM issues certificates for IBM courses completed within the program

  • Is the Cal Poly EPaCE certificate recognized globally?

    Yes. Cal Poly EPaCE is part of California Polytechnic State University, San Luis Obispo, which is consistently ranked among the nation’s top universities, including #1 Regional University (West), #1 Top Public School, and #7 Best Value School by U.S. News. Hence, the certificate carries strong brand recognition and credibility with employers globally.

  • Will I also receive IBM certificates during the program?

    Yes, IBM certificates are awarded for applicable IBM courses taken during the program.

  • Are these certifications beneficial for advancing an AI and ML career?

    These certifications, along with hands-on projects and capstone assignments, show that professionals are prepared to take on advanced AI and ML challenges and drive innovation.

  • What kind of AI and ML job roles can I apply for after completing this program?

    After completing the program, learners can apply for roles that involve building and leading AI initiatives, such as AI/ML engineer positions and data-focused roles designing ML models, neural networks, LLMs, and generative AI solutions.

  • What is the average salary of AI and Machine Learning professionals?

    Built In (2025) reports that AI engineers in the United States earn an average total compensation of $214,227 per year.

  • Can this program help me transition from a non-technical to an AI-focused career?

    Yes, the applied, project‑based design and career services support career transitions into AI/ML, though a foundation in programming and mathematics is recommended

  • What are the eligibility criteria for this Professional Certificate Program?

    Applicants must be at least 18 years old and have a high school diploma or equivalent. Two or more years of work experience are preferred, and foundational knowledge of programming and mathematics is recommended.

  • Do I need prior coding experience to join the program?

    No, prior AI/ML experience is not required, but a basic understanding of programming and mathematics is essential to effectively learn and apply AI/ML techniques.

  • Are there financing or installment options available for the course fee?

    Yes. Flexible financing options are available. The total program fee is $3750, and you can pay in installments through Splitit or Klarna, with low APR and no hidden fees. You can reach out to the program advisor for more detailed information.

  • 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.