Gain skills in ML, deep learning, reinforcement learning, NLP, generative AI, prompt engineering, ChatGPT, and more. This AI & Machine Learning Bootcamp includes live classes delivered by industry experts, hands-on labs, industry-relevant projects, and masterclasses by Caltech instructors.
Earn a bootcamp certificate and up to 22 CEU credits from Caltech CTME
Gain CTME Circle membership and participate in Caltech’s campus visit.
Dedicated live online classes for generative AI, prompt engineering, ChatGPT, and more
Applied learning through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
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.
This AI bootcamp leverages Caltech's academic excellence to help you pursue a successful AI and Machine Learning career.
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.
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.
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Develop a shopping app for an e-commerce company using Python.
Use data science techniques, like time series forecasting, to help a data analytics company forecast demand patterns for different restaurant items.
Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.
Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.
Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.
Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.
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.
Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.
Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.
Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.
Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.
Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.
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.
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.
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!
Expected global AI market value by 2027
Projected CAGR of the global AI market from 2023-2030
Expected total contribution of AI to the global economy by 2030
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.
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.
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.
Fill in basic details about yourself and your interest in this program
The admissions panel reviews and shortlisted individuals get offer letters
Confirm your seat by enrolling in the program by paying the program fee
Candidates applying for AI and ML Bootcamp should have the following:
The admission fee for this program is $ 10,000
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.
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
Date
Time
Batch Type
26 Aug, 2024
20:00 CDT
26 Aug, 2024 - 26 Feb, 2025
20:00 - 23:00 CDT
Weekday (Mon-Thu)
Other Cohorts
Date
Time
Batch Type
30 Sep, 2024
20:00 CDT
30 Sep, 2024 - 12 Mar, 2025
20:00 - 23:00 CDT
Weekday (Mon-Thu)
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.
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.
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.
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.
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.
You will receive the following as part of this Best Machine Learning Bootcamp:
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.
You will get an AI and ML Bootcamp certificate of completion from Caltech CTME upon completing this AI and Machine Learning Bootcamp.
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.
Once you've made a partial or complete payment, there will be no refund.
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.