• Application closes on

    9 Oct, 2024
  • Program duration

    24 weeks
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Caltech's Academic Excellence

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

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

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    Caltech Campus Visit

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

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    Exposure to Latest AI trends

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

  • icons
    Hands-on Experience

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

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

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 Continuing Education Units (CEUs) from Caltech CTME
  • Gain a Caltech CTME Circle membership on LinkedIn
  • 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 Continuing Education Units (CEUs) to showcase your achievements

Artificial Intelligence Bootcamp Details

This immersive AI Bootcamp thoroughly explains AI concepts and gives you hands-on 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
    • 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

17+ 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

11+ Tools Covered

ChatGPTDalle.2Mid-journeypythontensorflowkerasMatPlotlibNLKTScikitLearnOpen CVNumPy

Industry Projects

  • Project 1

    Ecommerce

    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

    Retail

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

  • Project 4

    Production

    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

    Entertainment

    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

    Shipping

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

  • Project 9

    BFSI

    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

    Healthcare

    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

    Healthcare

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

  • Project 12

    Automobile

    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

    Tourism

    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.

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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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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 Compound Annual Growth Rate - 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
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFS - 7%Others - 10%

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

    Companies
    SAP ERP
    Wells Fargo
    Siemens
    Hewlett-Packard
    IBM
    Netflix
    Amazon
    Microsoft
    Bosch
    Deloitte
    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.

STEP 1

Submit Application

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

STEP 2

Application Review

The admissions panel reviews and shortlisted individuals get offer letters

STEP 3

Admission

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 $ 8,000

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.

Total Program Fee

$ 8,000

Pay In Installments, as low as

$ 800/month

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

Apply Now

Program Benefits

  • Masterclasses delivered by Caltech CTME instructors
  • Up to 22 Continuing Education Units (CEUs) from Caltech CTME
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Access to Caltech CTME Circle membership on LinkedIn
  • Simplilearn’s Career Assistance post-program completion

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

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 tools and ML concepts in real-world scenarios.
    • Provide hands-on learning where students can work on projects with integrated labs using machine learning models.
    • 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, neural networks, 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.

    • 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 Caltech 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 online ai boot camp 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

  • 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?

    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.

  • 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.

  • 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.

  • 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.

  • 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.

  • What do people think about Simplilearn’s AI & Machine Learning Bootcamp?

    Simplilearn is highly regarded for offering valuable, career-boosting education. The AI & Machine Learning Bootcamp 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.

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