• Program duration

    11 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Caltech CTME Advantage

    Earn a program certificate and up to 22 Continuing Education Units (CEUs) from Caltech CTME

    Earn a program certificate and up to 22 Continuing Education Units (CEUs) from Caltech CTME

  • icons
    IBM’s Industry Expertise

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

  • icons
    Exposure to Latest AI trends

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

  • icons
    Hands-on Experience

    Hands-on learning via 15+ projects and 18 in-demand tools with seamless access to integrated labs

Corporate Training

Enterprise training for teams

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
  • Secure IBM certificates for the IBM courses you complete
  • Access the Caltech CTME Circle Membership on LinkedIn
  • Earn up to 22 Continuing Education Units (CEUs) from Caltech CTME
  • Participate in hackathons and Ask Me Anything sessions hosted by IBM
  • Learn from a curriculum delivered in live online sessions by industry experts
  • Gain insights into the latest developments in GenAI, prompt engineering, and more
  • Experience hands-on learning via 15+ projects, including 3 capstones across industries
  • Gain exposure to 15+ tools like ChatGPT, ChatGPT, Claude, Uizard, Python, TensorFlow
  • Participate in an online graduation ceremony led by the Caltech CTME Executive Director
  • Attend masterclasses delivered by distinguished Caltech CTME instructors and IBM experts

AI Course Online 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 Continuing Education Units (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 Course 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

  • Induction for Caltech Post Graduate Program in AI and Machine Learning

    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.

  • PGC AIML- Programming Refresher
    • Python and IDE installation
    • Working with Jupyter Notebook
    • Implementing identifiers, indentations, comments
    • Python data types, operators, string identification
    • Types of Python loops comprehension
    • Variable scope in functions exploration
  • PGC AIML - Python for Data Science (IBM)
    • IBM-designed Python data science course
    • Python scripting proficiency
    • Hands-on data analysis in Jupyter
    • Utilizing Jupyter-based lab for analysis
  • PGC AIML- Applied Data Science with Python
    • 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
  • PGC AIML- Machine Learning
    • Diverse machine learning types covered
    • Focus on business oriented 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
  • PGC AIML - Deep Learning with TensorFlow (IBM)
    • 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
  • PGC AIML- Deep Learning Specialization
    • 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
  • PGC AIML- Essentials of Generative AI, Prompt Engineering & ChatGPT
    • Latest AI insights: Covers generative AI, prompt engineering, and ChatGPT
    • Learning Experience : 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
  • PGC AIML - Capstone

    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:
  • PGC AIML - Academic Masterclass

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

  • PGC AIML - Industry Masterclass

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

  • PGC AIML - ADL & Computer Vision
    • Advanced computer vision and deep learning skills acquired
    • In-depth knowledge and hands-on 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
    • Learn complex vision challenges 
    • Ability to deploy deep learning models effectively
  • PGC AIML - NLP and Speech Recognition
    • 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
  • PGC AIML - Reinforcement Learning
    • Core RL concepts explored comprehensively
    • Skills to solve RL problems in Python and TensorFlow
    • Theoretical RL foundations covered
    • Hands-on experience with RL algorithms
    • Problem-solving strategy development
    • Proficiency in diverse RL applications
    • Equipped to apply RL effectively in various scenarios
  • PGC AIML - Advanced Generative AI
    • 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.

Contact Us

1-844-532-7688

( Toll Free )

16+ Skills Covered

  • Python Programming
  • Data Manipulation
  • Statistical Analysis
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Generative AI
  • Prompt Engineering
  • Natural Language Processing
  • Speech Recognition
  • Reinforcement Learning
  • Timeseries Modeling
  • Data Visualization
  • Exploratory Data Analysis
  • Hypothesis Testing
  • Ethical AI

18+ Tools Covered

ChatGPTGemini-DecClaude-DecUizardMIRODescript-DecZapier-DecJulius.aiInvideo.aiOtter AIpythontensorflowkerasNLKTNumpy-DecOpenCV-DecScikitLearn-DecMatplotlib-Dec

Industry Projects

  • Project 1

    MLB Digital Platform Enhancement

    Develop a backend for MLB's digital platform to manage player statistics, match schedules, and ticket bookings, and implement a report generation system to enhance performance.

  • Project 2

    Ed Tech Backend System

    Create backend modules for SL Tech's edtech platform to manage learner credentials and courses and improve the overall learning experience.

  • Project 3

    Sales Strategy Analysis

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

  • Project 4

    Marketing Strategies with Exploratory Data Analysis

    Conduct exploratory data analysis and hypothesis testing to understand factors contributing to customer acquisition and enhance marketing strategies.

  • Project 5

    Predicting Employee Iteration 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 6

    Song Classification with Cluster Analysis

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

  • Project 7

    Home Loan Data Analysis

    Develop a deep learning model to predict the likelihood of loan defaults using historical data, ensuring a secure lending process.

  • Project 8

    Lending Club Loan Data Analysis

    Create a deep learning model to predict loan defaults using historical data, addressing an imbalanced dataset with numerous features.

  • Project 9

    ChatGPT Based Storytelling

    Design an interactive storytelling adventure using ChatGPT to create unique and engaging narratives without coding.

  • Project 10

    Virtual Project Management Consultant

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

  • Project 11

    Diabetic Retinopathy Detection with CNN and TensorFlow

    Use distributed training and TensorFlow serving to build and deploy a CNN model for automated diabetic retinopathy detection.

  • Project 12

    Build Facial Recognition System with Deep Learning

    Leverage deep learning algorithms to develop a facial recognition model that assists in diagnosing genetic disorders and their variations in patients.

  • Project 13

    AI Powered HR Assistant with GPT and Gradio

    Develop an AI-driven HR assistant that extracts answers from Nestle’s HR policy documents using OpenAI's GPT model and Gradio UI.

  • Project 14

    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 15

    Preserving Heritage and Enhancing Tourism with ML

    Leverage advanced ML techniques to monitor historical structures' conditions and enhance tourism with a recommendation engine for personalized marketing.

  • Project 16

    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.

  • Project 17

    Demand Forecasting for Smarter Business Decisions

    Develop accurate forecasting models to predict demand, enabling businesses to optimize production, sales, and staffing for better 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 Advisors and Trainers

Program Advisors

  • Madhusudhanan Baskaran

    Madhusudhanan Baskaran

    Principal Consultant, IIT Madras Pravartak

    Dr. Baskaran, with 31 years of experience in AI/ML and a Ph.D. in AI, is a Principal Consultant at IIT-M Pravartak, has expertise spanning Deep Learning, NLP, IoT, and Generative AI, and noted contributions in multimodal AI systems, drone data analytics, and AI-driven healthcare solutions.

  • 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. 

  • Nicholas Beaudoin

    Nicholas Beaudoin

    Caltech CTME, Director of Strategic Partnerships

    Mr. Beaudoin is the Director of AI Programs at Caltech’s CTME where he works with strategic AI partnerships and also advises and teaches many of the CTME AI/ML related offerings.

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Program Trainers

  • Manjunatha Gummaraju

    Manjunatha Gummaraju

    27+ years of experience

    Data Scientist

  • Shubham Mittal

    Shubham Mittal

    11+ years of experience

    Data Scientist

  • Abhisekh Ranjan

    Abhisekh Ranjan

    13+ years of experience

    Director - Data Science & Analytics

  • Prashant Nair

    Prashant Nair

    14+ years of experience

    GenAI and LLM Developer

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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 Compound Annual Growth Rate - 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.

  • 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%

    *Based on Simplilearn's enrolment data of past two years

    Companies
    SAP ERP
    Godrej & Boyce
    Wells Fargo
    ExxonMobil
    Target
    Boeing
    Siemens
    Infosys
    Hewlett-Packard
    IBM
    Amazon

Testimonial

Enrolling in AI and ML has been incredibly rewarding. The live sessions clarified complex concepts and encouraged me to ask questions, while hands-on projects reinforced my learning. The IBM certifications have enhanced my professional profile, creating new opportunities. Learning alongside a diverse group enriched my perspective, as I gained valuable insights from their experiences. Overall, this program has greatly boosted my skills and confidence in AI and ML.

Soumik Ray

DirectorDell

What other learners are saying

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

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

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
  • Up to 22 Continuing Education Units (CEUs) from Caltech CTME
  • Exposure to ChatGPT, Generative AI, Explainable AI and more
  • Earn a Caltech CTME Circle Membership on LinkedIn
  • Simplilearn’s Career Assistance post-program completion

Artificial Intelligence Course FAQs

  • What is an artificial intelligence course?

    An artificial intelligence course is a structured educational program designed to teach AI concepts, principles, techniques, and applications. It often includes theoretical knowledge, hands-on exercises, and real-world projects to equip learners with the skills to effectively develop and implement AI solutions. Key components typically include:

    • Covering foundational concepts like deep learning and neural networks.

    • Conducting sessions on technical skills like data analysis and programming languages like Python.

    • Focusing on key areas like machine learning algorithms, NLP, computer vision and more.

    • Introduction to common AI tools like TensorFlow and Keras.

    • Discussing ethical considerations of AI and emerging and future trends.

    This AI course covers all the aspects mentioned above, providing a smooth and structured learning experience.

  • What does an AI engineer do?

    An AI engineer designs, develops, and implements artificial intelligence solutions to solve complex problems. They work with machine learning models, neural networks, and data analytics to create intelligent systems that can learn and adapt. They often collaborate with data scientists and software developers to integrate AI technologies into applications.

  • What are the benefits of enrolling in this AI training course?

    As a part of this AI training course, you can expect to:

    • Earn a program completion certificate and up to 22 Continuing Education Units (CEUs) credits from Caltech CTME upon course completion

    • Access hackathons and ask-me-anything sessions from IBM

    • Attend masterclasses delivered by distinguished Caltech instructor and IBM experts

    • Gain CTME Circle membership on LinkedIn and attend an online graduation by the Caltech CTME Executive Director

    • Attend specific IBM courses and earn separate certificates from IBM

    • Engage in 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.

  • How good are the trainers at Simplilearn?

    Instructors for the AI Course are industry professionals with extensive experience in the field. They are selected based on their expertise, teaching ability, track record and certifications in AI and ML. The selection process includes rigorous vetting to ensure they can provide high-quality education and real-world insights for the best learning experience.

  • How do I enroll in this AI course?

    The application process for the artificial intelligence course involves three steps. 

    1. First, candidates must submit an application detailing their motivation for the course. 

    2. Next, an admission panel will review the applications and shortlist candidates based on their submissions. 

    3. Finally, selected candidates can begin their learning within 1-2 weeks. 

    Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

  • What will be the career path after completing this Artificial Intelligence Course?

    Career opportunities in AI have significantly increased, especially with the disruption it's been causing across industries like healthcare, finance, and computer science. After completing this AI course, you can likely explore several promising paths:

    1. AI Engineer: Help develop and implement robust AI models and algorithms in various applications.

    2. Data Scientist: Focus on analyzing big data sets and developing actionable insights using the best AI techniques.

    3. Machine Learning Engineer: Design, build, and develop machine learning systems and models.

    4. AI Consultant: Act as an organization advisor on integrating AI solutions to optimize operations.

    5. Business Intelligence Developer: Leverage the power of AI to create data-driven insights and growth strategies.

  • What is the refund policy for this Caltech Post Graduate Program In AI And Machine Learning?

    To learn more about cancellation and refund, please read our Refund Policy

  • What will I receive after completing the artificial intelligence 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 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)

  • 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 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.

  • Is AI a promising career?

    Fortune Business Insights predicts the global AI market will be worth $2,740.46 billion by 2032. To keep it short, yes, AI is a very promising career due to its growing demand across various industries. Enrolling in an AI training course to gain hands on skills and acquire the necessary skills to excel in this field.

  • Does AI require coding? Can a non-IT person learn AI?

    Yes, AI does require knowledge of coding. Learning programming languages like Python through an AI course is essential for developing AI models and algorithms. Non-IT people can learn AI by taking an artificial intelligence course, as they tend to start with basic concepts and gradually move to advanced topics, making the learning experience gradual and engaging.

  • Who should take this AI course?

    Artificial intelligence courses are in high demand currently. This Artificial Intelligence course is well-suited for professionals from diverse backgrounds interested in learning ai technologies and working in AI, neural networks, or machine learning engineering. Some recommended groups include:

    • Analytical managers who 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 technology.

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

    Our dedicated team supports you via email, chat, calls, and community forums. 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.

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

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

  • 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.

  • How is the job market in artificial intelligence?

    The job market in artificial intelligence is robust and expanding globally. AI professionals are sought in various sectors, such as tech, finance, healthcare, and more. According to Grandview Research, the global artificial intelligence market is expected to grow at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. That being said, enrolling in an AI program can help you learn practical skills and significantly enhance your job opportunities.

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

    AI and machine learning skills are in high demand globally, making AI programs important within the scope of the AI revolution. Specialists with such skills attract substantial incomes. AI Engineers in the United States make roughly $137,000 per year on average (source:Payscale)

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

    If you aspire to be a machine learning engineer, data scientist, or AI professional, you must complete the capstone project in this online AI training course. It offers learners a platform to test their decision-making skills 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 users' dynamic demands. These course projects will prepare you for the changes ahead.

  • 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.

  • Does Simplilearn have corporate training solutions?

    Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers plenty of options to help you upskill in AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the AI & Machine Learning  field.

    Similar programs that we offer under AI & Machine Learning 

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • What are the eligibility criteria to enroll in this Caltech Post Graduate Program In AI And Machine Learning?

    Simplilearn’s Caltech Post Graduate Program In AI And Machine Learning is best suited for newcomers and experienced professionals. To be eligible to enroll in this course, applicants must hav e a bachelor's degree in any relevant field. A basic understanding of artificial intelligence is preferred but is not mandatory. Prior working experience is not compulsory.

  • What is the review of Simplilearn’s Caltech Post Graduate Program In AI And Machine Learning?

    Simplilearn is highly regarded for offering valuable, career-boosting education. The Caltech Post Graduate Program In AI And Machine Learning offers a well-structured and industry-relevant curriculum. Simplilearn testimonials and alumni reviews talk highly about the comprehensive course content, practical learning approach, and experienced instructors. The flexibility of the programs allows professionals to upskill while balancing work and personal commitments.

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  • 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.