• Admission closes on 7 Oct, 2023
  • 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’s from Caltech CTME

Caltech Campus Visit

Caltech Campus Visit

Access to Caltech CTME Circle Membership and Caltech’s campus visit initiative

Exposure to Latest AI trends

Exposure to Latest AI trends

Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT and more

Hands-on Experience

Hands-on Experience

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


Looking to enroll your employees into this program ?

AI and Machine Learning Bootcamp Overview

The AI & Machine Learning Bootcamp in Houston combines Caltech CTME's academic prowess with IBM's industrial ability to help you accelerate your data science career. Statistics, Python, Machine Learning, Deep Learning, Natural Language Processing, and Supervised Learning are all included in this AI and Machine Learning Bootcamp.

Key Features

  • Earn a bootcamp certificate from Caltech CTME
  • Earn up to 22 CEUs and Caltech CTME Circle Membership
  • Online convocation by Caltech CTME Program Director
  • Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • 25+ hands-on projects with seamless access to integrated labs
  • Attend live interactive sessions for the latest AI trends, such as generative AI, prompt engineering, explainable AI and more
  • Industry-relevant capstone projects in 3 domains

AI and ML Bootcamp Advantage

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

  • Bootcamp Certificate

    Partnering with Caltech CTME

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

AI and Machine Learning 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

  • This introductory course establishes a fundamental base in mathematical and statistical principles. Its objective is to cultivate critical thinking and problem-solving skills, empowering learners to analyze data, make well-informed decisions, and employ mathematical and statistical techniques in practical scenarios relevant to various industries. This course is the initial step on the program journey.

  • In this course, you will acquire essential Python skills that will serve as the building blocks for your journey throughout the program.

  • This course provides a comprehensive understanding of data science essentials, encompassing various aspects such as data preparation, model building, and evaluation. Participants will learn Python concepts like strings, Lambda functions, and lists. Additionally, they will explore topics like NumPy, linear algebra, and statistical concepts, including measures of central tendency and dispersion, skewness, covariance, and correlation.

  • This course provides a comprehensive overview of various machine learning concepts and their practical applications. You will explore the machine learning pipeline and gain insights into supervised learning, regression models, and classification algorithms. Additionally, you will study unsupervised learning, clustering techniques, and ensemble modeling. The course will also evaluate popular machine learning frameworks such as TensorFlow and Keras.

  • This AI and Machine Learning bootcamp covers deep learning with TensorFlow and is aligned with the latest industry best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms to help you prepare for a deep learning engineer career.

  • This course offers a comprehensive exploration of generative AI models, specifically focusing on ChatGPT. You will acquire practical skills to understand and explore ChatGPT effectively. The course covers various topics, including generative AI, explainable AI, prompt engineering, fine-tuning, ethical considerations and more.

  • 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.

  • This comprehensive course provides in-depth knowledge and practical skills in the field of computer vision and advanced deep-learning techniques. You will delve into a wide range of topics, including image formation and processing, convolutional neural networks (CNNs), object detection, image segmentation, generative models, optical character recognition, distributed and parallel computing, explainable AI (XAI), and deploying deep learning models.

  • In this course, you will gain a detailed understanding of the science behind applying machine learning algorithms to process vast amounts of natural language data. The course focuses on natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice assistant devices.

  • This course offers a comprehensive exploration of the core concepts of reinforcement learning. You will learn how to solve reinforcement learning problems using various strategies through practical examples and hands-on exercises using Python and TensorFlow. The course covers the theory behind RL algorithms and equips you with the skills to utilize reinforcement learning as a problem-solving strategy effectively.

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, Program Director

    Dr. Rick Hefner serves as the Program 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 Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

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 course 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%
    AI and Machine Learning course learners from SAP ERP, Houston
    AI and Machine Learning course learners from Wells Fargo, Houston
    AI and Machine Learning course learners from Siemens, Houston
    AI and Machine Learning course learners from Hewlett-Packard, Houston
    AI and Machine Learning course learners from IBM, Houston
    AI and Machine Learning course learners from Netflix, Houston
    AI and Machine Learning course learners from Amazon, Houston
    AI and Machine Learning course learners from Microsoft, Houston
    AI and Machine Learning course learners from Bosch, Houston
    AI and Machine Learning course learners from Deloitte, Houston
    AI and Machine Learning course learners from JP Morgan Chase, Houston

Alumini 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 $ 9,999

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, Affirm, 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

$ 9,999

Apply Now

Program Benefits

  • Masterclasses delivered by distinguished Caltech instructors
  • Earn a bootcamp completion certificate from Caltech CTME
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Gain access to Caltech CTME Circle Membership
  • Simplilearn’s Career Assistance post-program completion

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

AI and Machine Learning Bootcamp FAQs

  • What are the requirements for participating in this AI and Machine Learning Bootcamp in Houston?

    Candidates for this Machine Learning Bootcamp in Houston Online should have the following qualifications:

    • A bachelor's degree in any field is required.
    • Basic coding and mathematical knowledge or expertise are needed.
    • 5+ years of professional job experience is preferred.

  • Who should attend this AI and Machine Learning Bootcamp in Houston?

    Professionals who want to learn more about AI and machine learning with the goal of:

    • Increasing their efficacy in their existing position.
    • In their organization, they are switching to AI positions.
    • Those looking to develop their careers in the field.
    • Entrepreneurial dreams are given form.

  • What are the AI and Machine Learning Bootcamp in Houston application processes like?

    This AI and Machine Learning Bootcamp in Houston has a three-step admissions process:

    • All interested applicants must complete the online application form.
    • Candidates will be shortlisted by an admissions panel based on their proposal.
    • The chosen candidates will get an offer of admission, which they can accept by paying the AI ML Bootcamp program cost.

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

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

    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. Caltech's Robotics Lab is open to the public.
    5. Membership in the Caltech CTME Circle.
    6. Caltech CTME Program Director holds an online conference.
    7. Caltech CTME physical certificate (on request).
    8. There are over 25 hands-on projects from companies like Twitter, Mercedes-Benz, Uber, etc.
    9. Access to integrated labs is seamless.
    10. Three capstone projects are available.
    11. Andrew McAfee, Principal Research Scientist at MIT, led a LevelUp session.
    12. To get identified by top recruiting businesses, use Simplilearn's Career Assistance.
    13. Experts from IBM led an industry masterclass.
    14. IBM hackathon and IBM Ask Me Anything Sessions are available to you.

    This curriculum is for working professionals who want to learn advanced topics, including reinforcement learning, graphical models, natural language processing, deep learning, and a strong foundation in statistics.

  • How long does the AI and Machine Learning Bootcamp in Houston take to complete?

    The curriculum may be undertaken at your leisure; however, the overall duration of the AI and Machine Learning Bootcamp program is expected to take 6-8 months to finish.

  • Can I get a sealed transcript for World Education Services (WES) at the end of the program?

    Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.

  • Can participants specialize in NLP within the AI & Machine Learning Bootcamp?

    Yes, participants in the AI & Machine Learning Bootcamp can specialize in NLP by focusing on NLP courses and projects. Bootcamps often offer elective courses or allow participants to choose project topics related to NLP. This specialization allows participants to deepen their understanding of NLP techniques and apply them to real-world language processing challenges.

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