• Program duration

    11 months
  • Learning Format

    Self-Paced Learning

Why Join this Program

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

    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.

      • Procedural and OOP understanding
      • 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
      • 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 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
      • 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
      • 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
    • 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 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
      • 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
      • Hands-on 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.

    18+ Tools Covered

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

    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. 

    • 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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    Batch Profile

      Learner Reviews

      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.

      • 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.