• Admission closes on 15 Jul, 2024
  • Program Duration 6 months
  • Learning Format Online Bootcamp

Why Join this Program

Caltech's Academic Excellence

Caltech's Academic Excellence

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

Caltech Campus Visit

Caltech Campus Visit

Gain CTME Circle membership and participate in Caltech’s campus visit.

Exposure to Latest AI trends

Exposure to Latest AI trends

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

Hands-on Experience

Hands-on Experience

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


Looking to enroll your employees into this program ?

AI Bootcamp Overview

Elevate your career with our comprehensive AI and Machine Learning Bootcamp. Gain an in-depth understanding of key concepts, including machine learning, deep learning, NLP, computer vision, generative AI, explainable AI, prompt engineering, ChatGPT, and more. Prepare yourself for a successful career in AI and ML with this extensive bootcamp.

Key Features

  • Earn a bootcamp certificate from Caltech CTME
  • Curriculum delivered in live online sessions by industry experts
  • Earn up to 22 CEUs from Caltech CTME
  • Gain a Caltech CTME Circle membership
  • Masterclasses delivered by distinguished Caltech CTME instructors
  • Live sessions by industry experts on the latest AI trends, such as Generative AI, prompt engineering, and more
  • Engage in 3 capstones and 25+ hands-on projects from various industries
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • 8X higher interaction in live online classes by industry experts

Machine Learning Bootcamp Advantage

This AI bootcamp leverages Caltech's academic excellence to help you pursue a successful AI and Machine Learning career.

  • Bootcamp Certificate

    Partnering with Caltech CTME

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

Artificial intelligence Bootcamp Details

This immersive AI Bootcamp thoroughly explains AI concepts and gives you practical experience working with deep learning, NLP, speech recognition, generative AI, prompt engineering, and more.

Learning Path

    • Understand procedural and OOP concepts
    • Explore the advantages of Python
    • Install Python and IDE
    • Master 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
    • Master 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 practical use
    • Distinguish between deep learning and machine learning
    • Explore neural networks, propagation, TensorFlow 2, Keras, and methods for improving performance
    • Master 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
    • Hands-on skills: Acquire practical expertise in various business applications
    • Utilizing AI: Master 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.

  • 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 practical skills
    • Explore subjects, including image formation, CNNs, object detection, and segmentation
    • Master generative models, OCR, and distributed computing
    • Explore Explainable AI (XAI) methodologies
    • Develop deployment strategies for deep learning models
    • Master 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
    • Master 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
    • Master 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

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Statistics
  • Machine Learning Algorithms
  • Supervised and Unsupervised Learning

Tools Covered

ChatGPTDalle.2Mid-journeypythontensorflowkerasMatPlotlibNLKTScikitLearnOpen CVNumPy

Industry Projects

  • Project 1


    Develop a shopping app for an e-commerce company using Python.

  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand patterns for different restaurant items.

  • Project 3


    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

  • Project 4


    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


    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

  • Project 8


    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

  • Project 9


    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


    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


    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 12


    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


    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.


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. 


Career Success

Career Success

This bootcamp readies you for career success from day one. Access live career workshops, office hours, and on-demand modules to build your job search toolkit, including resume, LinkedIn profile optimization, and much more
Grow your professional network

Grow your professional network

Resume and LinkedIn profile optimization

Resume and LinkedIn profile optimization

Interview and assessment prep

Interview and assessment prep

Salary negotiation workshops

Salary negotiation workshops

Join the AI and ML industry

AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this ai bootcamp is ideal for individuals striving to stay ahead of this transformative trend!

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Insights
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grand View Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

The diversity of our cohorts brings intensity to classroom conversations & interactions. This AI Bootcamp caters to learners from a wide range of sectors and experiences.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFS - 7%Others - 10%
    Wells Fargo
    JP Morgan Chase

Alumni Reviews

My learning experience with Simplilearn was outstanding. The course material is very thoughtfully designed. The way of explaining was simple and easy to understand. The instructors were good; the support was really helpful. I recommend this course to others who want to start something in the AI domain.

Diego Sabajo

Co-Founder -MindKeyz

What other learners are saying

Admission Details

Application Process

The application process consists of 3 simple steps. An offer of admission will be made to the selected candidates and can be accepted by the candidates by paying the admission fee.


Submit Application

Fill in basic details about yourself and your interest in this program


Application Review

The admissions panel reviews and shortlisted individuals get offer letters



Confirm your seat by enrolling in the program by paying the program fee

Eligibility Criteria

Candidates applying for AI and ML Bootcamp should have the following:

Be at least 18 years and have a High School Diploma or equivalent.
Have prior knowledge or experience in programming and mathematics
Preferably 2+ years of formal work experience

Admission Fee & Financing

The admission fee for this program is $ 10,000

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.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 10,000

Apply Now

Program Benefits

  • Masterclasses delivered by Caltech CTME instructors
  • Bootcamp certificate & up to 22 CEUs from Caltech CTME
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Eligibility for Caltech CTME Circle membership
  • Simplilearn’s Career Assistance post-program completion

Program Cohorts

Next Cohort

Other Cohorts

    • Date


      Batch Type

    • Program Induction

      26 Aug, 2024

      20:00 CDT

    • Regular Classes

      26 Aug, 2024 - 19 Mar, 2025

      20:00 - 23:00 CDT

      Weekday (Mon-Thu)

Got questions regarding upcoming cohort dates?

AI ML Bootcamp FAQs

  • Is an Artificial Intelligence Bootcamp Worth It?

    Whether an AI bootcamp is worth it depends on the learner's career goals, interests, and budget. AI bootcamps can be expensive, but they can also provide learners with valuable skills and experience to launch a career in AI. It is important to research different bootcamps and programs to determine which one aligns with the learner's goals and needs.

  • Is Machine Learning Bootcamp completely online?

    There is no need to attend a physical classroom session; this curriculum is taught entirely online. You may use the web or mobile device to access your seminars, readings, and assignments anytime and anywhere.

  • What Jobs Can I Get After Completing Artificial Intelligence bootcamp?

    Completing an Online AI Boot camp can prepare learners for a range of job roles in the field of AI, such as AI engineer, data scientist, machine learning engineer, and AI research scientist. Job roles can vary depending on the skills and interests of the learner, as well as the demand prevalent in the industry. Caltech AI & ML Bootcamp alumni can avail of the services that come with Simplilearn Career Assistance to increase their chances of getting hired by top companies such as Adobe, Microsoft, Google, Amazon, IBM, and Samsung.

  • What is an AI Bootcamp?

    Our AI Bootcamp is a training program covering AI and machine learning fundamentals. Its primary objective is to equip students with the necessary skills and knowledge to implement AI and ML concepts in practical applications. Artificial Intelligence Bootcamp emphasizes experiential learning and enables learners to put their knowledge into practice by working on real-world projects with integrated labs. The program also aims to equip students with job-ready skills and prepare them for successful careers.

  • Why Should I Attend a Machine Learning Bootcamp?

    Attending a Machine Learning bootcamp can be a great way to jumpstart your AI and Machine learning career. Bootcamps offer immersive, hands-on learning experiences to help you build a strong foundation in AI concepts,AI model training tools, and techniques. A typical AI and Machine Learning Bootcamp is designed to be intensive and fast-paced, which means you can learn a lot in a short amount of time. Additionally, an AI ML bootcamp often has industry connections and can help you build a professional network.

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

    You will receive the following as part of this Best Machine Learning Bootcamp:

    1. Certificate of completion of the Caltech CTME program.
    2. Caltech CTME offers up to 22 CEUs.
    3. Masterclasses taught by renowned Caltech professors.
    4. Membership in the Caltech CTME Circle.
    5. There are over 25 hands-on projects from various domains.
    6. Access to integrated labs.
    7. Three capstone projects are available.
    8. To get identified by top recruiting businesses, use Simplilearn's Career Assistance.

    This Artificial Intelligence Bootcamp curriculum is for working professionals who want to learn advanced topics, including reinforcement learning, graphical models, natural language processing, and deep learning.

  • What kind of certificate will I get?

    You will get an AI and ML Bootcamp certificate of completion from Caltech CTME upon completing this AI and Machine Learning Bootcamp.

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

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

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

    Once you've made a partial or complete payment, there will be no refund.

  • I'm having trouble accessing Machine Learning Bootcamp. Who can assist me?

    Please feel free to contact our customer support team via the "Contact Us" page to address any queries you may have. Alternatively, you can submit your details using the form located on the right side of the page for assistance.

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