• Program Duration

    0 weeks

  • Learning FormatLive, Online, Interactive

AI and Machine Learning Course Highlights

Elevate your career with our online AI course, leveraging Caltech's academia and IBM's industry insights. Learn Python, ML, NLP, and more through engaging virtual classes and hands-on projects.

  • Caltech’s Academic Excellence

    A leading science and engineering institute known for industry-pioneering innovations.

    Caltech’s contributions have earned international recognition and 38 Nobel Prizes.

  • Learn from Great Educators

    Global AI and ML experts lead training with industry use cases and applications.

    Masterclasses delivered by distinguished Caltech CTME instructors.

  • Experiential Learning in a Cohort-based Program

    11 months of applied learning: 25+ hands-on projects with integrated labs

    Capstone projects in 3 domains to validate your skills across top company challenges

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FOR ENTERPRISE

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Program Outcomes

Program CertificateProgram Certificate
  • Earn a program completion certificate from Caltech CTME
  • Earn a Caltech CTME Circle Membership on LinkedIn
  • Receive up to 22 CEUs (Continuing Education Units) from Caltech CTME
  • Get a program performance report for the entire learning path

AI and Machine Learning Course Curriculum

  • Induction for Caltech Post Graduate Program in AI and Machine Learning

    Welcome to this artificial intelligence course, developed and presented with Caltech CTME and IBM, which will help you become an AI and ML domain expert.

  • PGC AIML - Programming Refresher

    This course provides you with essential Python programming skills that will serve as the building blocks for your entire program journey. You will learn how to effectively implement artificial intelligence (AI) and machine learning (ML) algorithms, conduct data analysis, and construct intelligent systems efficiently using Python

  • PGC AIML - Python for Data Science (IBM)

    Developed by IBM, this course equips students with the skills to leverage Python for data science. By the end of the course, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.

  • PGC AIML - Applied Data Science with Python

    This course provides coverage of key concepts in data science, such as data preparation, model development, and evaluation. Throughout the course, you will develop a strong understanding of fundamental Python concepts such as strings, Lambda functions, and lists. You will explore various important skills such as Z-test, T-test, and ANOVA. Furthermore, you will acquire data visualization skills using popular libraries like Matplotlib, Seaborn, Plotly, and Bokeh.

  • PGC AIML - Machine Learning

    This course comprehensively covers various types of machine learning and their practical applications. You will explore the machine learning pipeline and delve into topics such as supervised learning, regression models, and classification algorithms. You will also study unsupervised learning, including clustering techniques and ensemble modeling. Evaluate machine learning frameworks like TensorFlow and Keras, and build a recommendation engine with PyTorch.

  • PGC AIML - Deep Learning with TensorFlow (IBM)

    Elevate your machine learning skills to the next level with this comprehensive course on deep learning using TensorFlow and Keras. Gain a thorough understanding of deep learning concepts, empowering you to construct artificial neural networks and navigate through complex data abstraction layers. By harnessing the potential of data, this course prepares you to venture into new frontiers of Artificial Intelligence.

  • PGC AIML - Deep Learning Specialization

    This comprehensive course provides you with the necessary skills to deploy deep learning tools using AI/ML frameworks. You will explore the fundamental concepts and applications of deep learning and understand the distinctions between DL and ML. The course covers a range of topics, including neural networks, forward and backward propagation, TensorFlow 2, Keras, model interpretability, CNNs, transfer learning, object detection,RNNs, autoencoders, and creating neural networks in PyTorch.

  • PGC AIML - Essentials of Generative AI, Prompt Engineering & ChatGPT

    This comprehensive course thoroughly explains generative AI models, specifically focusing on ChatGPT. Participants will acquire practical skills to leverage ChatGPT for building and deploying AI chatbot applications effectively. The course covers topics such as generative AI, explainable AI, prompt engineering, fine-tuning, ethical considerations, and the future of generative AI.

  • PGC AIML - Capstone

    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 is the final step in the core learning path and will help you showcase your expertise to employers.

ELECTIVES
  • PGC AIML - Academic Masterclass

    Attend an online interactive masterclass and get insights about advancements in technology/techniques in AI and Machine Learning by Caltech

  • PGC AIML - Industry Masterclass

    Attend this online interactive industry master class to gain insights about advancements in AI and Machine Learning techniques

  • PGC AIML - ADL & Computer Vision

    In this advanced course, you will gain in-depth knowledge and practical skills in computer vision and deep learning techniques. The course covers various 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.

  • PGC AIML - NLP and Speech Recognition

    This advanced course comprehensively explores applying machine learning algorithms to process vast amounts of natural language data. It focuses primarily on natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, voice assistance devices, and building Alexa skills.

  • PGC AIML - Reinforcement Learning

    This course delves into the core concepts of reinforcement learning (RL), providing you with the knowledge and skills to solve RL problems using various strategies in Python and TensorFlow. You will learn the theoretical foundations of RL and gain practical experience in applying RL algorithms as a problem-solving strategy. By the end of the course, you will be equipped with the skills to use reinforcement learning in diverse applications and scenarios effectively.

  • PGC AIML - Advanced Generative AI

Skills Covered

  • ChatGPT
  • Computer Vision
  • Deep Learning
  • Ensemble Methods
  • Explainable AI
  • Generative AI
  • Machine Learning Algorithms
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Natural Language Processing
  • Prompt Engineering
  • Reinforcement Learning
  • Speech Recognition
  • Statistics
  • Supervised and Unsupervised Learning

Tools Covered

ChatGPT
Dalle.2
Mid-journey
python
tensorflow
keras
MatPlotlib
NLKT
ScikitLearn
Open CV
NumPy
Selenium FSD
View More

Industry Projects

AI and ML Program Advisor

Eligibility Criteria

  • A bachelor's degree with an average of 50% or higher marks
  • Basic understanding of programming concepts and mathematics
  • 2+ years of work experience preferred

Best Suited For

  • Software Engineers
  • IT Professionals
  • Data Professionals
  • Business Analysts
  • Product Managers

How to Apply For AI ML Course

  • STEP 1Submit Application

    Tell us a bit about yourself and why you want to do this AI course

  • STEP 2Application Review

    An admission panel will shortlist candidates based on their application

  • STEP 3Admission

    Selected candidates can begin the AI Course online within 1-2 weeks

Demand for AI ML Course in 2024

AI specialists are amongst the highest-earning professionals in the tech industry. Transitioning to this field can potentially open doors to rewarding career prospects with substantial earning opportunities. Our online artificial intelligence course equips you with a comprehensive understanding and domain exposure, setting you up to excel in this burgeoning field.

Our PGP in AI and Machine Learning, a blend of rich learning and hands-on experiences, could be your gateway to this exciting domain. Our online AI courses have been carefully crafted to help you learn artificial intelligence and machine learning, the twin pillars of the future technological landscape. With our AI course, you gain not just theoretical knowledge but also hands-on experience that's vital in the real world. Conquer the AI field with this course today!

AI and Machine Learning Course FAQs

  • What are the eligibility criteria for this postgraduate program in AI ML?

    For this postgraduate AI and Machine learning course, you will be required to have the following:

    • A bachelor-level degree with an average score of 50% or higher.
    • Basic understanding of Mathematics and Programming.
    • Preferable 2+ years of formal work experience.

  • Who is this Artificial Intelligence and Machine Learning course designed for?

    This artificial intelligence and machine learning course is designed in a way to accommodate professionals from varied organizations and backgrounds and is best suited for those who are seeking to build a career in the AI and ML domain.

  • What is the process of admission for this AI and Machine Learning certification course?

    For this post graduate program in  AI and Machine learning, you will be required to follow these steps:

    • Submit the program application form.
    • We will process the application and get back to you within 1-3 working days.
    • Once selected, you will receive an admission letter which you will be required to accept by paying the program fee.

  • What should I expect from this AI ML certification course?

    This AI ML certification course will help you gain essential AI and ML skills as you get the opportunity to gain exposure to various AI concepts and workflows, Machine learning, Python, Computer Vision, Deep learning, parallel and distributed computing using GPUs, GANs and many more latest concepts related to AI & ML.

  • What certificate will I receive?

    After completing this AI ML course, you will be obtaining a certificate of completion from Caltech CTME. Also, you will receive IBM certificates for completing all the courses by IBM along with certificates from Simplilearn for completing the given courses in the learning path.

  • Will any preparation material be provided to help me get started?

    The course is curated in a way that it first starts with a basic introductory level course to help learners get a basic idea of AI and ML concepts. This will help you to learn the basics first and then progress to the advanced concepts.

  • How long does It take to complete this AI ML course?

    It will take a total of 11 months to complete this AI ML course.

  • Is this course really 100% online? Do I need to attend any classes in person?

    This AI ML course is offered 100% through online mode and does not require anyone to attend classes in person.

  • What is covered under the 24/7 support?

    The 24/7 support enables learners to get their doubts cleared all round the clock through chat, email and calls. We has a dedicated team offering on-demand assistance via its community forum. You can visit the community forum any time even after completing your course.

  • What are some of the roles and responsibilities of an AI ML expert?

    Some of the key roles and responsibilities of an AI ML expert are:

    • Designing and developing ML algorithms  
    • Discovering, designing, and developing suitable analytical methods for supporting novel approaches of data and information processing
    • Designing and developing unique algorithms
    • Performing various exploratory data analyses
    • Generating as well as testing the working hypotheses
    • Preparing as well as analyzing historical data and identifying patterns
    • Providing technical support for program management and business development activities, including proposal writing and customer development
    • Managing knowledge sharing within a community

  • What are some of the major companies using Artificial Intelligence and Machine Learning?

    Some of the top companies using artificial intelligence and machine learning are Google Cloud, IBM Cloud, Alibaba Cloud, Amazon Web Services (AWS), DataRobot, Baidu AI Cloud, Microsoft Azure, and Salesforce.

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Caltech and Simplilearn Collaboration

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.

Caltech and Simplilearn Collaboration