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Mar 14, 2025Program Duration
24 weeksLearning Format
Live, Online, InteractiveA leading science and engineering institute known for industry-pioneering innovations
Caltech's contributions have earned international recognition and 38 Nobel Prizes
Global AI and ML experts lead training with industry use cases and applications
Masterclasses delivered by distinguished Caltech CTME instructors
24 weeks of applied learning with 15+ hands-on projects, including 3 capstones
Exposure to 18 industry-demanded tools with access to integrated labs
Enhance your profile and stand out to top hiring companies
Access AI-driven resume support, 1:1 mentorship, and mock interview preparation
Enroll your employees into this program, NOW!
Toll Free : +1-844-532-7688
Machine Learning Engineers design, develop, and optimize AI systems and algorithms. They build models to process data, make predictions, and automate tasks. Their work involves data preparation, training ML models, deploying solutions, and fine-tuning systems for accuracy.
Hiring CompaniesThis 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.
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 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 learn 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 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.
Dive deep into innovative generative AI principles with this advanced course. During the program, you'll thoroughly explore neural networks, LLMs, their architectures, and diverse generative models such as VAEs, GANs, autoencoders, and transformer-based models. Delve into renowned generative AI models like GPT, BERT, and T5, mastering the art of effectively assessing their performance
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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.
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Artificial intelligence is revolutionizing various industries by automating tasks, analyzing big data, and improving decision-making processes. According to Business Insider, the global AI hardware and services market is projected to reach $90 Billion by 2025, acting as a testament to the growing demand for skilled AI and ML professionals.
AI specialists are among the top-paying jobs, as seen by the salary figures of common AI roles like Data Scientist, AI Engineer, etc. Switching to this field could result in a rewarding career path with a high earning potential. This machine learning bootcamp offers comprehensive learning and domain exposure, equipping you with the necessary skills to conquer this booming field.
An AI and machine learning bootcamp is an immersive, short-term training program designed to teach students hands-on skills and knowledge needed to become proficient in AI and ML. This AI and ML Bootcamp offered by Caltech CTME in collaboration with Simplilearn covers programming languages, statistics, data analysis, machine learning, deep learning, reinforcement learning, linear regression, logistic regression, and other machine learning algorithms. Taking part in machine learning bootcamps is a great way to upskill and advance in your career.
An AI and ML engineer's roles and responsibilities typically involve designing, developing, and implementing machine learning models and algorithms. Machine learning professionals work with programming languages like Python, R, or Java and use tools like TensorFlow, PyTorch, or scikit-learn. They also collaborate with cross-functional teams to deploy machine learning principles, integrate their models into software applications and ensure they are optimized for performance, scalability, and accuracy.
The Caltech AI and ML bootcamp offers several benefits, including gaining expertise in cutting-edge AI and ML technologies, learning from experienced instructors and industry experts, obtaining skills through hands-on projects, and networking opportunities with peers and professionals. Additionally, the certificate can help individuals stand out in a competitive job market and advance their careers in AI and ML. This AI BootCamp includes a comprehensive machine learning unit to help participants master core concepts and practical applications.
Professionals with AI and ML skills are in high demand across all industries, leading to many well-paid job opportunities. Here are some average annual salaries for different job roles for people with these skills:
Job Role | Average Annual Compensation (US) |
---|---|
$166K | |
$203K | |
$161K | |
$185K | |
$157K | |
$168K |
Note: These figures include annual base salary and additional compensation (cash bonuses, stock options, etc.).
Our highly qualified instructors are industry experts with relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating stay on. Caltech CTME instructors conduct masterclasses.
Gaining AI and machine learning skills in this AI ML course online can prepare you for several job roles, depending on your capabilities and interests. Here are a few:
Machine Learning Engineer
AI Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
Computer Vision Engineer
Deep Learning Engineer
AI Product Manager
AI Research Scientist
AI Consultant
AI Business Development Manager
Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools. The contributions of Caltech's faculty and alumni have earned national and international recognition, including 45 Nobel Prizes and 71 National Medals of Science.
Caltech CTME has chosen to team with Simplilearn to co-deliver these online professional programs. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact.