AI Academy

Course Code
AIML-Custom

Elevate your team's technical expertise with our customizable AI/Machine Learning group training at Caltech. Harness hands-on AI/ML skills, industry-driven applications, and expert-led insights to transform your organization and its performance.

  • Learners Any Level
  • Time Client definable
  • Duration Client definable
  • Program Type Customizable Programs
  • Certificate Type Certificate Available
  • Format On-Campus
  • CEU/PDU Available
  • Fees Group Rate

Elevate your team's technical expertise with our customizable AI/Machine Learning group training at Caltech. Harness hands-on AI/ML skills, industry-driven applications, and expert-led insights to transform your organization and its performance.

AI Academy

Program Experience

Experience an immersive AI learning journey at Caltech, designed for your teams of data scientists, developers, and engineers. Your teams will engage with our expert instructors through interactive lectures and hands-on ML projects on a user-friendly platform. Delve into machine learning solutions across industries from engineering to finance, culminating in a capstone project employing synthetic data. 

This program is available in different lengths, from 1 to 4 weeks, depending on the depth and breadth desired. The program can be provided at your location, or on the Caltech campus in Pasadena, California. Campus classes include faculty interactions and visits to on-campus research labs and the Jet Propulsion Lab (JPL), which Caltech manages for NASA. Employees return to your organizations charged and ready to lead innovation.

Benefits

Your teams can learn to:

  • Master core AI and ML principles and powerful start-of-the art techniques for analyzing data and empowering AI products
  • Align business objectives with data science capabilities to enhance decision-making and infrastructure
  • Develop comprehensive ML solutions with a focus on efficiency and effectiveness in industrial contexts
  • Implement advanced optimization methods for dynamic system performance and industry-specific problem solving
  • Gain hands-on experience with ML applications in finance, supply chain, and sustainable energy, tackling real-world problems like credit default prediction and climate action
  • Dive into Hybrid AI and knowledge-based operations to drive innovation and strategic operational decisions
  • Acquire practical skills in Python for ML development, data manipulation, and ETL processes
  • Adopt best practices in ML operations, model governance, and bias mitigation to ensure ethical and transparent AI deployment
Topics

In a customizable program, your team can follow a comprehensive set of topics and activities tuned to your organization’s need: 

 

Core Learning:

  • Introduction to Machine Learning
  • Machine Learning Model Development
  • Data Acquisition and Quality Management
  • Model Optimization and Governance

Specialized Applications:

  • AI in Supply Chain, Finance, Research or Engineering
  • Climate Action through AI
  • Advanced Data Analytics Techniques

Technical Deep Dives:

  • Hands-on ML Model Development in Python
  • Low-Code ML and Cloud Platform Utilization
  • Optimization and Constraint Satisfaction

Innovation and Current Trends:

  • Hybrid AI and Knowledge-Based Operations
  • Generative AI and Large Language Models
  • Natural Language Processing and Applications
Who Should Attend

Our program is tailored for technical developers, programmers, and advanced technologists seeking to deepen their applied machine learning experience or for those new to AI, seeking a comprehensive foundation. Candidates should have some experience with programming/coding, and possess knowledge of computer science, algebra, calculus, probability theory, and statistics. Proficiency in Python is highly advantageous. The curriculum is suited for those with a zeal to integrate AI with business processes, eager to apply data-driven solutions to real industry challenges. Ideal attendees are from diverse fields such as engineering, research, IT, manufacturing, and finance, who aim to lead AI initiatives and drive innovation within their organizations.

This program is ideal for organizations aiming to develop strong internal capabilities for digital transformation and product/platform innovations.