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AI Academy

Course Code
AIML-Custom

Caltech CTME’s AI Academy is a customizable enterprise program that equips teams with hands-on AI and machine learning skills to solve real business problems. Built for data scientists, developers, and engineers, the academy blends instructor-led sessions, interactive labs, and a capstone aligned to your industry—biotech, energy, finance, aerospace, and more. Choose flexible formats, on campus experiences, and ai certification options to scale AI capability across your organization and accelerate transformation. 

  • Learners Foundational
  • Time Client definable
  • Duration 10–20 Days; Definable
  • Program Type Customizable Programs
  • Certificate Type Certificate
  • Format Any Format/Location
  • CEU/PDU Available
  • Fees Group Rate
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Caltech CTME’s AI Academy is a customizable enterprise program that equips teams with hands-on AI and machine learning skills to solve real business problems. Built for data scientists, developers, and engineers, the academy blends instructor-led sessions, interactive labs, and a capstone aligned to your industry—biotech, energy, finance, aerospace, and more. Choose flexible formats, on campus experiences, and ai certification options to scale AI capability across your organization and accelerate transformation. 

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. Explore targeted machine learning solutions in industries like biotech, energy, finance, and aerospace, culminating in a capstone project using real-world or 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.

AI Academy programs can be configured for non-technical participants, such as executives, senior teams, and product managers, who need to understand key concepts in machine learning and AI-centric product development strategies. Additionally, the Caltech programs in Technology Marketing or Next Generation Supply Chain Leadership can be paired with the AI Academy courses.

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. 

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