This AI & Machine Learning Bootcamp is offered in collaboration with Simplilearn. Headquartered in San Francisco, California, Simplilearn provides highly effective online training across a range of information technology and software disciplines. In its ten-year history, Simplilearn has trained over one million professionals and helped 1,000 companies across 150 countries become trained, acquire certifications, and reach their business and career goals.
Upon completion of the program, you will receive:
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Program completion certificate from Caltech CTME
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Comprehensive learning path performance report
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Membership in the Caltech Circle LinkedIn group
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Up to 22 CEUs (Continuing Education Units)
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Personalized career support services from Simplilearn
Blended Learning Approach
Simplilearn’s Blended Learning model brings classroom learning experience online with its intuitive Learning Management System (LMS). It combines instructor-led training in virtual classrooms, self-paced learning, and personalized mentoring to provide an immersive learning experience, all on a part-time basis.
The program also provides 24/7 teaching assistance, online practice labs to do real-world projects, and a vibrant social forum where you can discuss ideas with your peers.
Simplilearn's Blended Learning promotes learning by doing and not just watching.
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The AI & Machine Learning Bootcamp, presented with Simplilearn, draws upon the Institute’s academic eminence while presenting in a practical, hands-on learning model. You will learn critical concepts in Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. Through the program, you will build coding and critical thinking skills through project assignments.
Skills and Tools
Skills covered:
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Statistics
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Python
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Supervised and Unsupervised Learning
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Recommendation Systems
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Model Building and Fine Tuning
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Natural Language Processing techniques (NLP)
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Neural Networks
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Deep Learning
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Reinforcement Learning
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Speech Recognition
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Ensemble Learning
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Computer Vision
Tools covered:
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Python
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LLMs
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TensorFlow 2
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Keras
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NLTK
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scikit-learn
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Matplotlib
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Django
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Flask
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OpenCV
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OCR
Project-Based Learning Cases
Project 1: Social Media
Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from a popular social channel’s platform to mitigate social hate and negativity.
Project 2: Electronic Commerce
The data set provided contains movie reviews given by a video platform’s customers. Perform data analysis on the customers’ movie reviews data set and build a machine learning recommendation algorithm which provides ratings for each of the users.
Project 3: Automobile Manufacturing
An automotive manufacturer wants the time on its test bench to reduce the time it takes a car to get to the market. Build and optimize the Machine Learning algorithm to solve this problem.
Project 4: EdTech
Help Simplilearn assess the quality of e-learning videos freely available on YouTube to prepare high-quality and engaging video content for students.
Project 5: Healthcare
Analyze different types of cancers for ICMR, such as breast cancer, renal cancer, colon cancer, lung cancer, and prostate cancer, that have been becoming a cause of worry in recent years. They want to identify the probable cause of these cancers regarding the genes responsible for each.
Project 6: Entertainment
Help an online content provider analyze whether a particular URL is prone to phishing — malicious — or not. This will help them push ads on their website without affecting their user privacy and restrict URLs that could contain a malicious link.
Project 7: Consumer Electronics
Help a leading mobile brand understand the voice of the customer by analyzing the reviews of their product on a popular online retail platform and the topics that customers are talking about. You will perform topic modeling on specific parts of speech, then interpret the emerging topics and context.
This program is ideal for those who aspire to work as a MLOps Engineer, AI Developer, or Data Scientist. Individuals currently working as software developers, data analysts, or systems engineers will find this program particularly beneficial, as it will equip them with the skills needed to evolve into more specialized positions in artificial intelligence and machine learning. This program is for learners who have knowledge or prior experience in programming, mathematics, and an analytical frame of mind.
