In this program, you will Learn How To:

  • Deploy a holistic AI architecture at the systems engineering level.

  • Recruit, retain, and lead multi-disciplinary high-technology teams

  • Maximize the value of your digital products and services

Download the brochure and join accomplished experts on the frontlines of artificial intelligence.

Increase the potential — and value — of your AI system

Without the right system-wide foundation, managing the full artificial intelligence (AI) cycle, from development through deployment, can be costly and ineffective. Acquire the systems engineering building blocks you need to make the most of your AI investment in this five-day course.

Increase confidence and reduce errors in your AI approach

AI tools are powerful. But without a supportive system-wide architecture, you’re limiting the potential and value of your investment.

In this five-day course, you’ll master the holistic systems engineering strategies you need to lead, develop, and deploy AI systems in responsible ways that augment human capabilities—and provide greater value to your organization.


By the Numbers

Course Details

This live virtual course explores the tools and strategies required to embrace an organization-wide systems engineering approach to AI development and deployment. Through hands-on exercises and a team roadmapping project, you will acquire practical experience building machine learning models, develop a systems engineering approach to your AI investment, and master 10 principles for incorporating people, processes, and technologies in the successful deployment of AI products and/or services.

  • Course Dates

    July 15 - July 19, 2024

  • Format

    On Campus

  • Fee

    $4,200

  • Duration

    5 Days

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Participant Takeaways

  • Understand an end-to-end AI architecture at the systems engineering level

  • Master the AI pipeline building blocks

  • Experiment via AI exercises and review seminal AI papers

  • Communicate your value proposition to stakeholders

  • Learn to incorporate Responsible AI (RAI) from the beginning of the development cycle

  • Acquire guidelines for successfully deploying AI system capabilities, with emphasis on DevOps, MLOps, and DevSecOps

  • Obtain practical insights from the “voice of AI practitioners” across various industries

  • Formulate a strategic vision and development plan focused on AI products and services

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Faculty

David Martinez

MIT Instructor

David Martinez is a Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory and MIT Instructor. He focuses on research and technical directions in the areas of artificial intelligence (AI) and high-performance computing. Previously, Mr. Martinez served as an Associate Head in the Cyber Security and Information Sciences Division. He was also a member of Lincoln Laboratory’s Steering Committee. Mr. Martinez has held many past technical leadership roles, including Leader of the Embedded Digital Systems Group and Head of the ISR Systems and Technology Division.

About MIT Professional Education

For 70 years, MIT Professional Education has been providing technical professionals worldwide a gateway to renowned MIT research, knowledge, and expertise, through advanced education programs designed specifically for them. In addition to industry-focused, two-to-five-day live virtual and on-campus courses through Short Programs, MIT Professional Education offers professionals the opportunity to take online and blended learning courses through Digital Plus Programs, attend courses abroad through International Programs, enroll in regular MIT academic courses through the Advanced Study Program, or attend Custom Programs designed specifically for their companies. For more information, please visit professional.mit.edu.

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