• Admission Date

    Announcing Soon
  • Program duration

    24 weeks
  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enterprise training for teams

    Learning Path

      • Understand procedural and OOP concepts
      • Explore the advantages of Python
      • Install Python and IDE
      • Learn the usage of Jupyter Notebook
      • Implement identifiers, indentations, and comments
      • Identify Python data types, operators, and strings
      • Comprehend different types of Python loops
      • Explore variable scope in functions
      • Explain the characteristics of OOP
      • Describe methods, attributes, and access modifiers
      • Learn essential data science concepts
      • Understand fundamental Python elements: strings, Lambda functions, lists
      • Explore tools and libraries: Utilizing NumPy for arrays and linear algebra
      • Understanding statistical concepts: central tendency, dispersion, skewness
      • Learn methods for hypothesis testing: Z-test, T-test, ANOVA
      • Focus on leveraging pandas for efficient data manipulation
      • Develop data visualization skills with Matplotlib, Seaborn, Plotly, Bokeh
      • Understand the machine learning pipeline
      • Explore supervised learning: regression, classification
      • Practice unsupervised learning: clustering, ensemble modeling
      • Assess frameworks: TensorFlow, Keras
      • Apply PyTorch for recommendation engines
      • Understand of machine learning methodologies and their use
      • Distinguish between deep learning and machine learning
      • Explore neural networks, propagation, TensorFlow 2, Keras, and methods for improving performance
      • Understand the interpretation of models
      • Learn about CNNs, transfer learning, object detection, RNNs, autoencoders
      • Utilize PyTorch to construct neural networks
      • Establishing a robust understanding of deep learning fundamentals
      • Create and enhance models through Keras and TensorFlow
      • Latest AI insights: Gain exposure to Generative AI, prompt engineering, and ChatGPT
      • Applied Learning : Acquire hands-on exposure of these technologies
      • Utilizing AI: Learn the effective application of these technologies
      • Emphasis on prompt engineering: Grasp its influence on producing precise 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 will help you showcase your expertise to employers.

    Electives:
    • Caltech Artificial Intelligence and Machine Learning Bootcamp Masterclass

    • The purpose of project hours is to help you clarify any questions or concerns you may have about projects you've completed this far.

    • Experts will respond to any questions or concerns you may have regarding the course material in this program.

      • Attain high-level proficiency in computer vision and deep learning
      • Gain comprehensive understanding and hands-on skills
      • Explore subjects, including image formation, CNNs, object detection, and segmentation
      • Understand generative models, OCR, and distributed computing
      • Explore Explainable AI (XAI) methodologies
      • Develop deployment strategies for deep learning models
      • Learn tackling intricate vision-related challenges
      • Build and deploy deep learning models
      • Leverage machine learning algorithms to analyze natural language data
      • Investigate feature engineering techniques
      • Explore methods for generating natural language
      • Comprehend automated speech recognition
      • Learn speech-to-text and text-to-speech
      • Construct voice assistance devices
      • Develop skills for Alexa devices
      • Explore fundamental RL concepts
      • Tackle RL issues using Python and TensorFlow
      • Learn theoretical RL principles
      • Get hands-on practice with RL algorithms
      • Develop problem-solving strategies
      • Gain expertise in various RL applications
      • Implement RL in different scenarios effectively
      • Understand the crucial contribution of transformers in contemporary AI
      • Identify various types of generative models: VAEs, GANs, transformers, and autoencoders
      • Determine appropriate contexts for different model types
      • Understand the significance and efficacy of attention mechanisms
      • Examine the architectural intricacies of GPT and BERT
      • Compare the objectives of well-known generative AI models

    18+ Tools Covered

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

    Program Advisors

    • 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.

    • 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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      AI ML Bootcamp FAQs

      • What is an AI Bootcamp?

        An AI bootcamp is an online training program designed to teach the basics of AI and machine learning. Some of the main objectives of a bootcamp are to:

        • Teach students the essential skills and know-how to apply AI and ML concepts in real-world scenarios.

        • Provide hands-on learning where students can work on projects with integrated labs.

        • Equip students with job-ready skills and prepare them for successful careers.

        This AI and ML Bootcamp covers all of these key components, ensuring students have the best learning experience.

      • Are AI bootcamps worth it?

        AI bootcamps are always considered worth it because they provide learners with valuable skills and experience to launch a successful career. When considering one, it's important to remember the benefits they provide:

        • They offer intensive training, allowing you to gain essential skills quickly.

        • They emphasize hands-on learning using real-world applications to apply skills.

        • The core curriculum focuses on teaching the most current and in-demand techniques.

        • They offer opportunities to connect with industry professionals, instructors, and fellow students.

      • What does an AI specialist do?

        An AI specialist designs, develops, and implements AI systems and algorithms as required by an organization. They also play a crucial role in simplifying complex datasets to build models that help machines learn and make decisions. 

        They are adept at programming, testing, and optimizing AI solutions to solve specific problems or improve processes. An AI specialist must also stay updated with the latest advancements in AI technology and techniques for continuous career growth.

      • What should I expect from this AI and Machine Learning Bootcamp?

        This AI and ML Bootcamp curriculum is for working professionals who want to learn advanced topics, including reinforcement learning, graphical models, natural language processing, and deep learning. That being said, you can also expect the following:

        • Certificate of completion from Caltech CTME and up to 22 Continuing Education Units (CEUs).

        • Masterclasses taught by distinguished Caltech CTME instructors.

        • Caltech CTME Circle.Membership on LinkedIn

        • Access to over 25 hands-on projects and 20 tools with seamless access to integrated labs.

        • Dedicated live online classes for generative AI, prompt engineering, ChatGPT, and more.

      • How do I enroll in the AI and Machine Learning bootcamp?

        The application process for this program involves three steps. 

        • First, candidates must submit an application detailing their motivation for the program. 

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

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

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

      • What will be the career path after completing the AI ML bootcamp?

        AI and ML are booming. With the AI market expected to be valued at USD 267 billion by 2027, opportunities are only likely to grow. Completing an AI and ML bootcamp opens up various exciting career paths across various industries. Currently, some of the more popular job roles include

        • Data scientist

        • AI Engineer

        • Machine learning engineer

        • AI research scientist

        • AI product manager

        • Business intelligence analyst

        • AI consultant

      • What does the guarantee of 24/7 support entail?

        We provide email, chat, and call support 24 hours a day, seven days a week. Our dedicated staff offers on-demand support through our community forum. Furthermore, even after completing your bootcamp, you'll have lifetime access to the community forum.

      • Can I obtain a refund if I wish to discontinue my enrollment?

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

      • Is this AI and Machine Learning bootcamp completely online?

        Yes, this program's curriculum is taught entirely online. There is no physical classroom session. You may access your seminars, readings, and assignments anytime and anywhere on the web or mobile device.

      • Does Simplilearn have corporate training solutions?

        Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

      • Are Simplilearn’s courses eligible for reimbursement by my employer?

        Yes, Simplilearn’s AI & Machine Learning Bootcamp, offered in collaboration with Caltech University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Caltech also accepts tuition vouchers, which can streamline reimbursement.

        To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

      • How efficient are the trainers at Simplilearn?

        Our instructors at Simplilearn are highly efficient and bring extensive industry experience to their sessions. They are selected through a rigorous interview process that evaluates their expertise in AI's theoretical and practical aspects, ensuring that you learn from professionals who have real-world experience in the field. 

        Furthermore, we retain only those instructors who receive exceptional reviews from our alumni. Therefore, when you enroll in this AI and ML Bootcamp, you can be confident that top industry professionals will teach you.

      • What kind of certificate will I receive?

        Upon completing this bootcamp, you will receive a certificate of completion from Caltech CTME attesting to your knowledge and skills in the AI and ML domain.

      • What will be the expected salary range after completing the Machine Learning Bootcamp?

        The salary an AI professional can expect after completing an AI and ML bootcamp varies depending on factors such as skillset, industry sector, years of experience, and location. Entry-level positions may offer lower salaries, while those with additional experience and skills can expect higher compensation.

        The average yearly estimated pay for an AI Engineer is USD 154,460.

      • 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 AI & Machine Learning Bootcamp?

        To be eligible for this AI & Machine Learning Bootcamp, applicants should have a bachelor's degree in a relevant field. Simplilearn’s AI & Machine Learning Bootcamp can be taken up by newcomers and experienced professionals. Though prior knowledge of artificial intelligence  is helpful, it is not compulsory. Additionally, there is no requirement for previous work experience.

      • 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.