Gain the critical skills and strategic vision necessary for leadership in the evolving landscape of technology management. You will learn to:
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Master deep tech strategy by aligning emerging technologies with business goals to drive measurable impact
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Develop an organizational technology roadmap with priorities, sequencing, stakeholders, and metrics for enterprise adoption
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Navigate business adoption challenges including executive sponsorship, barriers, governance, and scaling innovations from pilots to production
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Engage with industry experts, faculty, and researchers through lectures, site visits, and cohort-based discussions and networking
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Experience cutting-edge technology firsthand via lab visits and demonstrations that connect research to operational execution
Overview of Topics
You will explore the technology landscape and the leadership system required to capitalize on it, including:
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Understanding advanced technologies: AI, IoT, robotics, biotechnology, quantum computing, and their impact on businesses and industries
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Future thinking and forecasting: developing strategic foresight to anticipate and navigate technological advancements under multiple scenarios
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Building an innovation agenda: creating a competitive edge at product, enterprise, and industry levels through innovation strategies
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Competitive business models and systems thinking: leveraging platform dynamics and systems thinking to identify new value propositions and their implications
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Managing innovation and R&D: leading product development and teams charged with innovation initiatives
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Organization design and transformation: adapting technology and workforce strategy for the future of work through effective leadership and change management
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Intellectual property and commercialization: strategies for protecting innovations, enabling technology transfer, and bringing technologies to market
Planned Agenda
Day 0 (Saturday) – Kickoff networking event
Arrive on campus and begin building your peer network. The kickoff reception is designed to connect participants early, frame the week’s learning arc, and surface shared challenges you’ll revisit throughout the program.
Day 1 (Sunday) – The Future of Work and Executive Technology Leadership
You’ll open with a Caltech perspective on how science and technology reshape industries and competitive advantage. The day emphasizes executive-level sensemaking and leadership: how to reframe disruption as opportunity, prioritize where to act, and mobilize teams. Through structured creative-thinking and applied exercises, you’ll practice turning macro trends into innovation initiatives—especially where the path forward is ambiguous.
In the afternoon, Triple Loop Learning is introduced as a leadership framework for navigating transformation in dynamic environments—helping leaders examine not only actions and strategies, but also the underlying assumptions and organizational conditions that shape long-term outcomes.
Day 2 (Monday) – Foundations of Data and Artificial Intelligence
Day 2 builds a practical foundation for data-driven leadership. You’ll explore modern data ecosystems, how data supports better decisions, and how privacy, security, and global regulation affect real adoption plans. On-campus lab experiences connect theory to practice (including a visit to Caltech’s Seismology Lab) and provide a tangible view of sensing, data capture, and analytics at scale. Discussions extend to the operational realities of AI—what it takes to build dependable pipelines, govern data quality, and prepare organizations for model-driven workflows.
An evening session expands the lens to applied AI in design, exploring how user experience and modern interface practices shape adoption and value creation.
Day 3 (Tuesday) – Building a Technology Roadmap to Drive Enterprise Value
A full-day, hands-on roadmap studio where you build a value-driven plan you can bring back and implement. Work is structured around five applied units:
- Business strategy and IT alignment: clarify enterprise value drivers and how technology will generate long-term value for customers and stakeholders.
- Use-case identification and product generation: identify priority use cases and sequence them into a coherent product/initiative roadmap.
- Organizational buy-in and repositioning: anticipate barriers, map stakeholders, and design a change-management approach that enables adoption.
- Technology roadmap development: define milestones, measures of success, and the engagement plan to sustain momentum.
- Action-ready deliverable: a completed roadmap template that can be operationalized immediately after the program.
Day 4 (Wednesday) – Leading Technical Adoption
This day focuses on what it takes to move from prototype and pilot to scaled capability. You’ll explore how leading enterprises are deploying GenAI and agentic AI systems, what they learned while scaling to production, and how executive sponsorship and governance influence outcomes. A visit to Caltech’s Center for Autonomous Systems and Technology (CAST) provides direct exposure to real prototypes and an applied discussion of adoption constraints—safety, reliability, talent, integration, and organizational readiness.
A “From the CIO’s Office” session adds an execution lens on architecture, security, operating model, vendor ecosystem, and the organizational realities that determine what strategy can actually be delivered.
Day 5 (Thursday) – Systems Engineering Innovations
Day 5 brings a systems lens to technology leadership—how organizations manage complexity across lifecycles, integration, verification, and performance outcomes. You’ll connect systems engineering principles to enterprise adoption challenges: interfaces, dependencies, risk, and operational sustainment. The day includes an industry visit to observe how large organizations apply systems thinking to complex programs and integrate new technologies into real workflows—translating innovation into dependable execution.
Day 6 (Friday) – Supply Chain Innovations and Marketing
The final day expands the value lens to operations and market strategy. Sessions address how organizations assess technology needs, align solutions to business objectives, mitigate risks, and drive digital transformation—especially where supply chains and partner ecosystems determine outcomes. You’ll explore high-performance supply chain design and resilience, including how organizations prepare for disruption and optimize for future growth.
The program culminates with a graduation dinner—an opportunity to reflect on key takeaways, share roadmaps, and strengthen the relationships built during the week.
Note: Programs, dates, fees, and instructors are subject to change.
This program is designed for leaders who influence technology strategy, investment decisions, and adoption outcomes—and who need an execution-ready framework to turn emerging technologies into measurable enterprise value. It is a strong fit for:
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Technology and innovation leaders integrating deep tech into their organizations
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Executives and decision-makers seeking a strategic framework for AI, robotics, and emerging technologies
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Entrepreneurs and startup founders commercializing deep tech solutions
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Engineers and technical professionals bridging R&D and business adoption
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Product managers and strategists building scalable technology roadmaps
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Investors and industry analysts evaluating high-impact deep tech opportunities
| Course |
Duration |
On Demand (online) |
Managing Advanced Technologies
Course #: 4470226 |
48 Hours |
February 22, 23, 24, 25, 26, 27, 2026
8:00am - 5:00pm PT
|
What is Managing Advanced Technologies (Deep Tech)?
It’s a six-day, on-campus Caltech executive program that helps leaders evaluate, prioritize, and scale advanced technologies—such as AI, robotics, IoT, biotechnology, and quantum computing—into measurable enterprise impact. You leave with practical decision frameworks and an actionable technology roadmap.
Who should attend this program?
The program is designed for leaders who influence technology strategy, investment decisions, and adoption outcomes—especially technology and innovation leaders, executives, product and strategy leaders, entrepreneurs, and technical professionals bridging R&D and business adoption.
Do I need a technical background to succeed in the course?
No. The program is built for decision-makers and cross-functional leaders who need executive-level clarity and an execution-ready approach. Technical professionals will also benefit, especially if they help translate emerging capabilities into adoption plans.
What will I be able to do by the end of the week?
You’ll be able to align deep tech opportunities to business value, build a prioritized and sequenced adoption roadmap, anticipate organizational barriers (governance, sponsorship, talent, integration), and define success measures for scaling beyond pilots.
What technologies are covered?
You’ll explore the landscape of advanced technologies—including AI, IoT, robotics, biotechnology, and emerging technologies—through a leadership and adoption lens (value, feasibility, risk, operating model, and scaling).
What is the “hands-on roadmap studio,” and what will I produce?
The roadmap studio is a structured, full-day workshop where you build a value-driven technology roadmap you can take back and implement. It includes use-case selection, sequencing, stakeholder mapping, change and adoption planning, milestones, and measures of success.
What does the week look like day to day?
The program blends faculty- and expert-led sessions with case discussions, demonstrations, and applied exercises. The cadence includes a kickoff networking event, multiple on-campus experiential sessions, a dedicated roadmap-building day, and a closing graduation dinner.
What on-campus and off-campus experiences are included?
Program experiences typically include Caltech lab/center visits (e.g., the Seismology Lab and the Center for Autonomous Systems and Technology), plus curated excursions such as a visit to NASA’s Jet Propulsion Laboratory (managed by Caltech). The schedule may also include industry exposure to see how large organizations integrate technology at scale.
Who teaches the program?
Instruction is delivered by Caltech CTME leadership and a mix of faculty and industry experts across technology leadership, AI/data ecosystems, systems engineering, commercialization, and operations.
Do I earn a certificate or continuing education units (CEUs)?
Yes. The program is 48 hours and awards 4.8 CEUs upon completion, along with a Caltech CTME certificate for the program.
How does networking work in a short, intensive program?
Networking is built into the format—beginning with a kickoff reception and reinforced through cohort-based discussion, site visits, and structured working sessions. The program culminates with a graduation dinner to help cement professional connections.
How should I prepare to get maximum value from the program?
Come with 1–2 real technology adoption challenges (or opportunities) from your organization—something you’d like to prioritize, de-risk, or scale. That context becomes useful fuel for the roadmap studio and peer discussions.
Can organizations send a cohort—or adapt this into a custom program?
Yes. Many organizations use public programs to upskill individual leaders, then explore cohort participation or customization for shared goals, use cases, and internal alignment. If you’re considering a group, CTME can discuss options alongside the public offering.
