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’s from Caltech CTME
Access to Caltech CTME Circle Membership and Caltech’s campus visit initiative
Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT and more
Gain experience 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.
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.
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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 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.
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 $ 9,999
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
4 Dec, 2023
4 Dec, 2023 - 2 Jul, 2024
20:00 - 23:00 CST
8 Jan, 2024
8 Jan, 2024 - 13 Aug, 2024
20:00 - 23:00 CST
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 AI and Machine Learning 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.
Professionals eager to develop AI and ML expertise with the objective of :
Candidates for this Machine Learning Bootcamp Online should have the following qualifications:
This AI and Machine Learning Bootcamp has a three-step admissions process:
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.
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.
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.
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.
The potential of AI is limitless, and it is being used in various industries to automate and improve processes, increase efficiency, and reduce costs. Some of the careers that use AI include Data Scientists, AI Engineers, Machine Learning Engineers, Robotics Engineers, and Natural Language Processing Engineers.
By enrolling in Simplilearn’s AI certification program, you can gain specialized knowledge and skills that will open up new opportunities. It can also help you keep up with the latest advancements in AI technology. This knowledge and experience could help you stand out during job interviews or even when applying for promotions at work.
If you're interested in starting a career in AI, there are many paths you can take. The easiest and best one is to get enrolled in an AI certification course.
Simplilearn’s AI and Ml Bootcamp will provide you with an understanding of the fundamentals of Artificial Intelligence and machine learning. By mastering these concepts, you can apply them to real-world problems and build better solutions for your organization or customers.
This is a great opportunity to offer a huge boost to your career. Differentiate yourself from other applicants and demonstrate your proficiency when applying for jobs or promotions. You will also be able to leverage new technologies, develop automated solutions, and become more proficient in data analysis skillsets - all of which are highly desirable traits for employers
Attending an AI and Machine Learning bootcamp can be a great way to jumpstart your career in AI. 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 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.
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.
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.