Gain skills in ML, deep learning, reinforcement learning, NLP, generative AI, prompt engineering, ChatGPT, and more. This AI 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.
Date
Time
Batch Type
6 May, 2024
22:00 BST
6 May, 2024 - 31 Oct, 2024
22:00 - 01:00 BST
Weekday (Mon-Thu)
The AI Bootcamp is a 6-month training program that covers the fundamentals of AI and machine learning. 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.
Simplilearn has collaborated with Caltech to offer an AI Bootcamp that can help individuals excel in their careers as AI specialists. What sets this bootcamp apart is that it draws on Caltech CTME's academic excellence to help individuals accelerate their data science careers. It includes live classes delivered by industry experts, hands-on labs, industry-relevant projects, and live masterclasses. Participants can expect to cover various topics, including Statistics, Python, Machine Learning, Deep Learning, Natural Language Processing, and Supervised Learning as part of this comprehensive program.
The Artificial Intelligence Bootcamp is an intensive training program of 6 months duration that teaches students the basics of AI and machine learning. Within which you will gain the skills and knowledge to apply AI and ML concepts in real-world scenarios. Compared to traditional courses, these AI and ML Bootcamps focus more on hands-on learning and allow learners to practice what they have learned by working on industry projects with integrated labs. Overall, it imparts job-ready skills and prepare you for a career as an AI engineer.
The curriculum may be undertaken at your leisure; however, the overall duration of the AI Bootcamp program is expected to take 6-8 months to finish.
The course of an AI & Machine Learning Bootcamp will depend on various factors such as the duration of the course, quality of pedagogy, and the extent of hands-on learning involved. The Caltech AI ML bootcamp is available for $9999. However, the course can be availed by paying the fees in installments as low as $880.
Professionals eager to develop AI and ML expertise with the objective of :
As companies increasingly rely on AI-driven solutions to automate tasks and make decisions, the demand for professionals with expertise in artificial intelligence is rising. Pursuing a career in AI can lead to numerous rewarding opportunities, from developing algorithms for autonomous vehicles to creating machine learning systems for fraud detection or disease diagnosis.
An artificial intelligence course can equip you with the skills and knowledge to create innovative solutions across various industries. Professionals with AI skills are in high demand for computer science jobs, including data scientists who use machine learning and deep learning to extract valuable insights from data. NLP skills are needed to create chatbots and voice-activated assistants, while advanced AI skills can pave the way for cutting-edge technologies such as self-driving cars and autonomous robots. AI is also being leveraged in fields like finance, healthcare, and creative arts, opening up new possibilities for professionals in these areas.
Simplilearn’s AI and ML Bootcamp can be immensely helpful for professionals looking to build a career in this field. This program is designed exclusively to provide professional students with a structured approach to learning the skills and concepts necessary to succeed in AI.
To acquire proficiency in AI, it is crucial to have a solid grasp of math, science, and computer science, particularly data science. Proficiency in mathematical concepts such as calculus, algebra, Bayesian algorithms, probability, and statistics is indispensable. Furthermore, comprehension of physics, mechanics, cognitive learning theory, and language processing can be advantageous in mastering AI.
A sound command of programming languages and tools, such as Python, C++, and Java, can be highly beneficial; in addition to a fundamental understanding of machine learning, deep learning, and neural networks.
If you possess prior experience in software development, automotive manufacturing, or aerospace manufacturing, you may already possess the necessary understanding of how AI is applied in these industries. You can learn more about AI in a business setting by taking Simplilearn's artificial intelligence course.
Deciding whether learning artificial intelligence (AI) is right for you depends on a few factors. Here are some questions you can ask yourself to help determine if pursuing AI is a good fit:
With the right training and education, you'll be well-equipped to take on challenging and rewarding roles in a variety of industries. Simplilearn’s artificial intelligence course provides Caltech CTME's academic prowess to help you accelerate your career. The curriculum provides a thorough grasp of AI-based technologies like ML, NLP, Deep Learning, Speech Recognition, Reinforcement Learning, and others.
Candidates for this Machine Learning Bootcamp Online should have the following qualifications:
With the AI and Machine Learning Bootcamp offered by Caltech CTME in collaboration with Simplilearn, you can benefit from the academic prowess of the premier institution.
The program covers a range of topics including statistics, Python, machine learning, deep learning, natural language processing, and supervised learning. The bootcamp is designed to provide a hands-on experience, with live classes delivered by industry experts, hands-on labs, industry-relevant projects, and masterclasses by Caltech professors. You'll gain a thorough grasp of AI-based technologies like machine learning, NLP, deep learning, speech recognition, and reinforcement learning. The AI course curriculum includes Applied Data Science with Python, Machine Learning, Deep Learning with Keras and TensorFlow, Advanced Deep Learning and Computer Vision, followed by a Capstone Project. There is also an elective for statistics Essentials for Data Science.
To guarantee that money is not a complicating factor for individuals, we provide various funding solutions to make this AI Machine Learning boot camp financially feasible. Please see our "Admissions Fee and Financing" section for further information.
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'll gain access to a preparatory course after you pay the first installment of the price for our AI and Machine Learning Bootcamp. Before attending the first session, you must complete the allocated course, which comprises self-paced learning information in videos.
You will get an AI and ML Bootcamp certificate of completion from Caltech CTME upon completing this AI and Machine Learning Bootcamp.
There is no need to attend a physical classroom because this curriculum is entirely online. You may use the web or your mobile device to access your seminars, readings, and assignments anytime and anywhere.
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.
Our teaching assistants are a devoted group of subject matter experts who are here to help you pass the AI Boot camp on your first try. From class onboarding to project mentoring to career aid, they proactively engage with students to guarantee adherence to the learning path and improve their learning experience.
Once you've made a partial or complete payment, there will be no refund.
Contact us by filling out the form on the right side of any Simplilearn page, using the Live Chat option, or contacting Help & Support.
The best AI course will depend on an individual's specific needs and preferences. Simplilearn's AI and ML bootcamp offered in collaboration with Caltech University is an excellent option for individuals interested in learning about AI and ML. This AI certification provides a comprehensive curriculum that covers various topics, including machine learning algorithms, neural networks, deep learning, and natural language processing.
The course is divided into several modules, starting with an introduction to AI and machine learning. This module covers the basics of AI, machine learning, and the various applications of these technologies in real-world scenarios. The course then moves on to more advanced topics such as data preprocessing, feature engineering, and model selection. The program also covers supervised and unsupervised learning techniques such as linear regression, logistic regression, decision trees, k-nearest neighbors, Naïve Bayes, K-means clustering, and more. The course also provides an in-depth exploration of neural networks, including multi-layer perceptrons and convolutional neural networks.
Throughout the program, students work on real-world projects, which help them gain practical experience in AI and machine learning. The program also includes quizzes, exercises, and assignments that allow students to test their knowledge and understanding of the concepts covered in the course.
Attending an Machine Learning bootcamp can be a great way to jumpstart your career in AI and Machine learning. Bootcamps offer immersive, hands-on learning experiences that can help you build a strong foundation in AI concepts, 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.
Some benefits of attending an AI bootcamp include:
The duration of an Artificial Intelligence Bootcamp can vary depending on the program and institution. Typically, an AI Bootcamp can range from several weeks to several months in length. The Caltech AI & Machine learning Bootcamp is an intensive program of 6 months duration.
Artificial Intelligence bootcamps and MOOCs/courses differ in their approach to teaching AI. AI Bootcamps are often more intensive, immersive, and hands-on, whereas MOOCs/courses are generally self-paced and offer a more flexible learning experience. Bootcamps are designed to provide a more comprehensive learning experience, including lectures, projects, and mentorship, to prepare learners for a career in AI.
Learners who plan to attend the Caltech AI & Machine Learning bootcamp must be at least 18 years old and must possess a basic understanding of computer programming and mathematics. Moreover, at least 2 years of work experience in a related domain is preferable for attending the course.
Completing an AI Bootcamp 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 needs of the industry. Caltech AI & ML Bootcamp alumni can avail of the services of Simplilearn Career assistance to get placed in top companies like Adobe, Microsoft, Google, Amazon, IBM, and Samsung.
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.
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.