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Account

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
Format On-Campus
CEU/PDU Available
Fees Group Rate

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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.