• Learning Format Self-Paced Learning

Why Join this Program

Caltech Academic Excellence

Earn a program completion certificate and up to 22 CEU credits from Caltech CTME

IBM’s Industry Expertise

Earn industry-recognized IBM certificates for IBM courses and get access to masterclasses by IBM

Exposure to Latest AI trends

Live classes on the latest AI trends, such as Generative AI, prompt engineering, ChatGPT, and more

Hands-on Experience

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

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Fast-track Your Career

Our Artificial Intelligence course comes with Simplilearn’s Career Assistance service that has demonstrated strong performance by means of average salaries offered, the number of hiring companies participating, and the pace of job offer roll-outs.

Our Placement Stats

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

Artificial Intelligence Course Overview

Take your AI and ML career to new heights with our artificial intelligence course. Expand your knowledge in machine learning, deep learning, NLP, computer vision, Generative AI, explainable AI, prompt engineering, ChatGPT, and more to prepare yourself for a thriving career in AI and ML.

Key Features

  • Earn a program completion certificate from Caltech CTME
  • Curriculum delivered in live online sessions by industry experts
  • Earn a Caltech CTME Circle Membership
  • Earn up to 22 CEUs from Caltech CTME
  • Masterclasses delivered by distinguished Caltech CTME instructors
  • Online convocation with the Caltech CTME Executive Director
  • Live interactive sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • IBM certificates for IBM courses
  • Access to hackathons and Ask Me Anything sessions from IBM
  • Engage in 3 capstones and 25+ hands-on projects from various industry domains
  • Gain exposure to ChatGPT, DALL-E 2, Gemini, and other prominent tools

AI Certification Course Advantage

Our extensive program empowers you to thrive in your career by providing essential skills and knowledge. Through a well-structured learning approach and industry-relevant projects, you'll tackle complex challenges to remain at the forefront.

  • Program Certificate

    Partnering with Caltech CTME

    • Program completion certificate from Caltech CTME
    • Masterclasses delivered by distinguished Caltech CTME instructors
    • Earn up to 22 CEUs to showcase your achievements
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Ask Me Anything sessions and hackathons

AI Certification Course Online Details

Unlock your potential as an artificial intelligence and machine learning professional with this industry-relevant AI program. Elevate your career with our online AI course, leveraging Caltech's academia and IBM's industry insights. Learn Python, ML, NLP, and Generative AI.

Learning Path

  • Welcome to this artificial intelligence course, developed and presented with Caltech CTME and IBM, which will help you become an AI and ML domain expert.

    • Latest AI insights: Covers generative AI, prompt engineering, and ChatGPT
    • Practical expertise: Gain hands-on knowledge of diverse business applications
    • Leveraging AI: Learn how to apply these technologies effectively
    • Focus on prompt engineering: Understand its impact on generating specific outputs
    • Procedural and OOP understanding
    • Python and IDE installation
    • Jupyter Notebook usage mastery
    • Implementing identifiers, indentations, comments
    • Python data types, operators, string identification
    • Types of Python loops comprehension
    • Variable scope in functions exploration
    • OOP explanation and characteristics
    • IBM-designed Python data science course
    • Python scripting proficiency
    • Hands-on data analysis in Jupyter
    • Utilizing Jupyter-based lab for analysis
    • Data science essentials covered comprehensively
    • Focus on Python fundamentals: strings, Lambda functions, lists
    • Tools and libraries exploration: NumPy for arrays, linear algebra
    • Statistical concepts: central tendency, dispersion, skewness
    • Hypothesis testing methods: Z-test, T-test, ANOVA
    • Emphasis on pandas for data manipulation
    • Data visualization skills honed using Matplotlib, Seaborn, Plotly, Bokeh
    • Diverse machine learning types covered
    • Focus on practical applications
    • Machine learning pipeline understanding
    • Supervised learning: regression, classification
    • Hands-on experience in unsupervised learning: clustering, ensemble modeling
    • Framework evaluation: TensorFlow, Keras
    • Hands-on PyTorch for recommendation engines
    • Advanced ML skills: Deep learning focus
    • TensorFlow and Keras expertise
    • Proficiency in deep learning concepts
    • Constructing neural networks
    • Navigating data abstraction layers
    • Unlocking data potential for AI advancements
    • Deep learning vs. machine learning distinctions
    • Topics covered: neural networks, propagation, TensorFlow 2, Keras, performance enhancement
    • Diverse topics: CNNs, transfer learning, object detection, RNNs, autoencoders
    • PyTorch for neural network creation
    • Strong foundation in deep learning principles
    • Effective building and optimization of models using Keras, TensorFlow
  • The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project is the final step in the core learning path and will help you showcase your expertise to employers.

Electives:
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in AI and Machine Learning by Caltech

  • Attend this online interactive industry master class to gain insights about advancements in AI and Machine Learning techniques

    • Advanced computer vision and deep learning skills acquired
    • In-depth knowledge and practical expertise emphasized
    • Topics covered: image formation, CNNs, object detection, segmentation
    • Focus on generative models, OCR, and distributed computing
    • Explainable AI (XAI) exploration
    • Deployment of deep learning models covered
    • Mastery of complex vision challenges tackled
    • Ability to deploy deep learning models effectively
    • Advanced ML algorithms for natural language data
    • Feature engineering exploration
    • Natural language generation techniques
    • Automated speech recognition covered
    • Speech-to-text and text-to-speech conversion
    • Voice assistance device construction
    • Building Alexa skills focus
    • Deep understanding of NLP and speech recognition science
    • Core RL concepts explored comprehensively
    • Skills to solve RL problems in Python and TensorFlow
    • Theoretical RL foundations covered
    • Practical experience with RL algorithms
    • Problem-solving strategy development
    • Proficiency in diverse RL applications
    • Equipped to apply RL effectively in various scenarios
    • Transformers’ vital role in modern AI.
    • Neural network suitability for generation tasks.
    • Distinguishing generative model types: VAEs, GANs, transformers, autoencoders.
    • Appropriate scenarios for different models.
    • Attention mechanisms’ role and effectiveness.
    • Analyzing architectural nuances of GPT, BERT.
    • Contrasting goals of popular generative AI models.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Machine Learning Algorithms
  • 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
  • Statistics

Tools Covered

ChatGPTDalle.2Mid-journeypythontensorflowkerasMatPlotlibNLKTScikitLearnOpen CVNumPySelenium FSD

Industry Projects

  • Project 1

    Ecommerce

    Develop a shopping application for an e-commerce company that has login and public login features, multiple categories, and supports a range of payment options using Python.

  • Project 2

    Food Service

    Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different items across restaurants.

  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.

  • Project 4

    Production

    Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.

  • 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

    Create a machine learning model that analyzes patterns in employees' work habits and retention intentions to forecast employee attrition rates for a business.

  • Project 8

    Shipping

    Use deep learning concepts, 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 with 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 data-sets of the mentioned organizations.

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Program Advisors

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

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Industry Trends

Artificial intelligence is the next digital frontier, with profound implications for business and society. With the AI market expected to grow steadily over the years, this artificial intelligence course is perfect for those who want to stay ahead of the trend.

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Business
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grandview Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

This PGP AI 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 ERP
    Godrej & Boyce
    Wells Fargo
    ExxonMobil
    Target
    Boeing
    Siemens
    Infosys
    Hewlett-Packard
    IBM
    Amazon

Learner Reviews

Admission Details

Application Process

The application process for the PG in AIML consists of three steps. An offer of admission will be made to the selected candidates, who can accept it by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this AI course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the AI Course online within 1-2 weeks

Eligibility Criteria

For admission to this Artificial Intelligence course, candidates should have:

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

Apply Now

Program Benefits

  • Masterclasses delivered by Caltech CMTE instructors
  • Completion certificate and up to 22 CEUs from Caltech CTME
  • Exposure to ChatGPT, Generative AI, Explainable AI and more
  • Earn a Caltech CTME Circle Membership
  • Simplilearn’s Career Assistance post-program completion

Artificial Intelligence Course FAQs

  • What is Artificial Intelligence?

    Artificial intelligence (AI) is a branch of computer engineering that involves the development of computer systems and digital scripts that mimic the human brain and do tasks that would typically need self-learning and automation. Using various AI technologies and approaches, computers may be trained to do jobs by analyzing massive amounts of data and identifying patterns in that data.

    In our artificial intelligence course, you will learn about reinforcement learning and neural networks. along with other details about artificial intelligence technology.

  • What are the best AI Courses online in 2024?

  • What is covered under the 24/7 Support promise?

    Our dedicated team extends support to you via email, chat, calls and community forums. The on-demand assistance is offered to help you complete Caltech PGP in AI And Machine Learning. After you complete the  Ai, you will have lifetime access to the community forum.

  • Who should take this AI course?

    Simplilearn and Caltech CTME’s PGP AI course is well-suited for professionals from diverse backgrounds who are interested in working as an AI, neural networks, or Machine Learning Engineer, such as:

    • Analytical managers supervise a group of analysts.

    • Data architects who want to learn about artificial intelligence systems and algorithms.

    • Data analysts are interested in working in machine learning or artificial intelligence.

    • Professionals who are interested in artificial intelligence or machine learning as a profession.

    • Experts wish to improve their understanding of their fields by using Artificial Intelligence.

  • What should I expect from this AI training course?

    As a part of this AI training course, you will receive the following:

    • Caltech CTME program completion certificate
    • Earn up to 22 CEUs from Caltech CTME
    • Masterclasses delivered by distinguished Caltech faculty
    • Caltech CTME Circle membership
    • Online convocation by Caltech CTME Program Director
    • 25+ hands-on projects from different domains
    • Live interactive sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
    • Gain exposure to ChatGPT, OpenAI, DALL-E, Midjourney & other prominent tools
    • Seamless access to integrated labs
    • Capstone projects in 3 domains
    • Simplilearn’s Career Assistance to get noticed by top hiring companies
    • Industry masterclass conducted by IBM experts
    • Access to IBM hackathon and IBM Ask Me Anything Sessions
    • IBM certificates for IBM courses
    • 8X higher interaction in live online classes by industry experts

  • What certificate will I receive after completing the AI Course?

    Upon completing this AI course, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses and an industry-recognized certificate from Simplilearn for courses in the learning path.

  • What salary can a professional expect after completing this AI Certification course?

    AI programs are at the forefront of the AI revolution.AI and machine learning skills are in high demand globally, and specialists with them attract substantial incomes. AI Engineers in the United States make roughly $125,000 per year on average (source: Payscale)

  • Will any preparation material be provided to help me get started?

    Once you make the first installment of the fee for this PGP AI certificate course, you will also get access to a preparatory course. You will have to go through the assigned course before starting the first class, which consists of self-paced learning content in the form of videos.

  • Is the AI course fully online? How long does it take to finish, and do I have to attend any in-person classes?

    This Artificial Intelligence Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device. The AI course could be completed according to your schedule, but the anticipated time to complete the overall course is 6-8 months.

  • What is covered under the 24/7 Support promise?

     We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your AI course.

  • If I want to cancel my enrollment, can I get a refund?

    No refund will be applicable once you make the partial/full payment.

  • How do our teaching assistants ensure your success in the program?

    Our teaching assistants are a dedicated team of experts in AI technologies and machine learning subjects, such as deep learning, natural language processing, computer vision, computer science, and other AI concepts. 

    They are here to help you get certified in the program on your first attempt. They proactively engage with students to ensure adherence to the learning path- helping to enrich their learning experience, from class onboarding to project mentoring to career assistance

  • I am not able to access the program. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Are there any practice exams included in the Artificial Intelligence course?

    Yes, as part of the Artificial Intelligence course, we include a practice test to assist you in preparing for gaining the certificate exam. You may practice with these free Artificial Intelligence Exam Questions to get a sense of the questions included in the course.

  • What is the significance of a Capstone project in the online AI training course?

    If you are aspiring to be a machine learning engineer, data scientist, or AI professional, you must complete the Capstone project in the online AI training course. It offers learners a platform to test their decision-making processes in concepts like data analysis, data science, and natural language processing and apply theoretical knowledge to real-world scenarios.

    The project helps students integrate learning from various modules and fosters skill development in data analysis, machine learning algorithms development, and problem-solving. The best artificial intelligence systems continually adapt and evolve to meet the dynamic demands of their users, so this course project will prepare you for the changes ahead.

  • What is Global Teaching Assistance?

    Our dedicated team of teaching assistants are subject matter experts and will help you crack the AI program on your first attempt. They help you enrich your learning experience, class onboarding, project mentoring, and job assistance. They are readily available during business hours to answer your queries and assist you in completing your Caltech Post Graduate Program In AI And Machine Learning.

  • What is Global Teaching Assistance?

    Our dedicated team of teaching assistants are subject matter experts and will help you crack the Caltech Post Graduate Program In AI And Machine Learning on your first attempt. They help you enrich your learning experience, class onboarding, project mentoring, and job assistance. They are readily available during business hours to answer your queries and assist you in completing your Caltech Post Graduate Program In AI And Machine Learning.

  • What is covered under the 24/7 support promise?

    Our dedicated team extends support to you via email, chat, calls and community forums. The on-demand assistance is offered to help you complete the Caltech Post Graduate Program In AI And Machine Learning. After you complete the artificial intelligence course , you will have lifetime access to the community forum.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.