Caltech Post Graduate Program In AI And Machine Learning
Ranked #1 Artificial Intelligence Course & Certification Training by Career Karma
Become an expert AI and ML professional with this artificial intelligence course delivered in partnership with IBM. This AI course covers the latest tools and technologies from the AI ecosystem and features masterclasses by Caltech instructors and IBM experts.
- Learning Format Self-Paced Learning
World’s #1 Online Bootcamp
Why Join this Program
Fast-track Your Career
Our Artificial Intelligence course comes with Simplilearn’s Career Assistance service that has demonstrated strong performance by means of average salaries offered, the number of hiring companies participating, and the pace of job offer roll-outs.
Our Placement Stats
Maximum salary hike
150%Average salary hike
70%Hiring partners
2900+Our Alumni In Top Companies
Artificial Intelligence Course Overview
Take your AI and ML career to new heights with our artificial intelligence course. Expand your knowledge in machine learning, deep learning, NLP, computer vision, Generative AI, explainable AI, prompt engineering, ChatGPT, and more to prepare yourself for a thriving career in AI and ML.
Key Features
- Earn a program completion certificate from Caltech CTME
- Curriculum delivered in live online sessions by industry experts
- Earn a Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
AI Course Advantage
Our extensive program empowers you to thrive in your career by providing essential skills and knowledge. Through a well-structured learning approach and industry-relevant projects, you'll tackle complex challenges to remain at the forefront.
Partnering with Caltech CTME
- Program completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech CTME instructors
- Earn up to 22 CEUs to showcase your achievements
Program in Collaboration with IBM
- Industry-recognized IBM certificates for IBM courses
- Masterclasses from IBM experts
- Ask Me Anything sessions and hackathons
AI Certification Course Online Details
Unlock your potential as an artificial intelligence and machine learning professional with this industry-relevant AI program. Elevate your career with our online AI course, leveraging Caltech's academia and IBM's industry insights. Learn Python, ML, NLP, and Generative AI.
Learning Path
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.
- Procedural and OOP understanding
- Python and IDE installation
- Jupyter Notebook usage mastery
- Implementing identifiers, indentations, comments
- Python data types, operators, string identification
- Types of Python loops comprehension
- Variable scope in functions exploration
- OOP explanation and characteristics
- IBM-designed Python data science course
- Python scripting proficiency
- Hands-on data analysis in Jupyter
- Utilizing Jupyter-based lab for analysis
- Data science essentials covered comprehensively
- Focus on Python fundamentals: strings, Lambda functions, lists
- Tools and libraries exploration: NumPy for arrays, linear algebra
- Statistical concepts: central tendency, dispersion, skewness
- Hypothesis testing methods: Z-test, T-test, ANOVA
- Emphasis on pandas for data manipulation
- Data visualization skills honed using Matplotlib, Seaborn, Plotly, Bokeh
- Diverse machine learning types covered
- Focus on practical applications
- Machine learning pipeline understanding
- Supervised learning: regression, classification
- Hands-on experience in unsupervised learning: clustering, ensemble modeling
- Framework evaluation: TensorFlow, Keras
- Hands-on PyTorch for recommendation engines
- Advanced ML skills: Deep learning focus
- TensorFlow and Keras expertise
- Proficiency in deep learning concepts
- Constructing neural networks
- Navigating data abstraction layers
- Unlocking data potential for AI advancements
- Deep learning vs. machine learning distinctions
- Topics covered: neural networks, propagation, TensorFlow 2, Keras, performance enhancement
- Diverse topics: CNNs, transfer learning, object detection, RNNs, autoencoders
- PyTorch for neural network creation
- Strong foundation in deep learning principles
- Effective building and optimization of models using Keras, TensorFlow
- Latest AI insights: Covers generative AI, prompt engineering, and ChatGPT
- Practical expertise: Gain hands-on knowledge of diverse business applications
- Leveraging AI: Learn how to apply these technologies effectively
- Focus on prompt engineering: Understand its impact on generating specific outputs
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:
Attend an online interactive masterclass and get insights about advancements in technology/techniques in AI and Machine Learning by Caltech
Attend this online interactive industry master class to gain insights about advancements in AI and Machine Learning techniques
- Advanced computer vision and deep learning skills acquired
- In-depth knowledge and practical expertise emphasized
- Topics covered: image formation, CNNs, object detection, segmentation
- Focus on generative models, OCR, and distributed computing
- Explainable AI (XAI) exploration
- Deployment of deep learning models covered
- Mastery of complex vision challenges tackled
- Ability to deploy deep learning models effectively
- Advanced ML algorithms for natural language data
- Feature engineering exploration
- Natural language generation techniques
- Automated speech recognition covered
- Speech-to-text and text-to-speech conversion
- Voice assistance device construction
- Building Alexa skills focus
- Deep understanding of NLP and speech recognition science
- Core RL concepts explored comprehensively
- Skills to solve RL problems in Python and TensorFlow
- Theoretical RL foundations covered
- Practical experience with RL algorithms
- Problem-solving strategy development
- Proficiency in diverse RL applications
- Equipped to apply RL effectively in various scenarios
- Transformers’ vital role in modern AI.
- Neural network suitability for generation tasks.
- Distinguishing generative model types: VAEs, GANs, transformers, autoencoders.
- Appropriate scenarios for different models.
- Attention mechanisms’ role and effectiveness.
- Analyzing architectural nuances of GPT, BERT.
- Contrasting goals of popular generative AI models.
Program Advisors
Rick Hefner
Caltech CTME, Executive DirectorDr. 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.
Industry Trends
Artificial intelligence is the next digital frontier, with profound implications for business and society. With the AI market expected to grow steadily over the years, this artificial intelligence course is perfect for those who want to stay ahead of the trend.
$267 billionExpected global AI market value by 2027
37.3%Projected CAGR of the global AI market from 2023-2030
$15.7 trillionExpected total contribution of AI to the global economy by 2030
Companies Hiring AI Engineers
Batch Profile
This PGP AI program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%Companies
Learner Reviews
Admission Details
Application Process
The application process for the PG in AIML consists of three steps. An offer of admission will be made to the selected candidates, who can accept it by paying the admission fee.
Submit Application
Tell us a bit about yourself and why you want to do this AI course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can begin the AI Course online within 1-2 weeks
Eligibility Criteria
For admission to this Artificial Intelligence course, candidates should have:
Apply Now
Program Benefits
- Masterclasses delivered by Caltech CMTE instructors
- Completion certificate and up to 22 CEUs from Caltech CTME
- Exposure to ChatGPT, Generative AI, Explainable AI and more
- Earn a Caltech CTME Circle Membership
- Simplilearn’s Career Assistance post-program completion
Artificial Intelligence Course FAQs
What is Artificial Intelligence?
Artificial intelligence (AI) is a branch of computer engineering that involves the development of computer systems and digital scripts that mimic the human brain and do tasks that would typically need self-learning and automation. Using various AI technologies and approaches, computers may be trained to do jobs by analyzing massive amounts of data and identifying patterns in that data.
In our artificial intelligence course, you will learn about reinforcement learning and neural networks. along with other details about artificial intelligence technology.
What are the best AI Courses online in 2024?
The following are some of the best AI Courses online:
What is covered under the 24/7 Support promise?
Our dedicated team extends support to you via email, chat, calls and community forums. The on-demand assistance is offered to help you complete Caltech PGP in AI And Machine Learning. After you complete the Ai, you will have lifetime access to the community forum.
Who should take this AI course?
Simplilearn and Caltech CTME’s PGP AI course is well-suited for professionals from diverse backgrounds who are interested in working as an AI, neural networks, or Machine Learning Engineer, such as:
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Analytical managers supervise a group of analysts.
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Data architects who want to learn about artificial intelligence systems and algorithms.
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Data analysts are interested in working in machine learning or artificial intelligence.
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Professionals who are interested in artificial intelligence or machine learning as a profession.
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Experts wish to improve their understanding of their fields by using Artificial Intelligence.
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What should I expect from this AI training course?
As a part of this AI training course, you will receive the following:
- Caltech CTME program completion certificate
- Earn up to 22 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- 25+ hands-on projects from different domains
- Live interactive sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
- Gain exposure to ChatGPT, OpenAI, DALL-E, Midjourney & other prominent tools
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to get noticed by top hiring companies
- Industry masterclass conducted by IBM experts
- Access to IBM hackathon and IBM Ask Me Anything Sessions
- IBM certificates for IBM courses
- 8X higher interaction in live online classes by industry experts
What certificate will I receive after completing the AI Course?
Upon completing this AI course, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses and an industry-recognized certificate from Simplilearn for courses in the learning path.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.