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AI Strategies and Roadmap - Systems Engineering Approach to AI Development and Deployment Massachusetts Institute of Technology (MIT)

Highlights
Tuition fee
4200 USD / full
4200 USD / full
4200 USD / full
Unknown
Tuition fee
4200 USD / full
4200 USD / full
4200 USD / full
Unknown
Duration
5 days
Duration
5 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Boston, United States
Campus location
Boston, United States
Taught in
English
Taught in
English

About

The AI Strategies and Roadmap - Systems Engineering Approach to AI Development and Deployment course offered by Massachusetts Institute of Technology (MIT) will equip professionals to lead, develop, and deploy AI systems in responsible ways that augment human capabilities.

Overview

What you will learn

The learning objectives of the AI Strategies and Roadmap - Systems Engineering Approach to AI Development and Deployment course offered by Massachusetts Institute of Technology (MIT) are:

  • 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
  • Receive practical experience from the “voice of AI practitioners” across various industries
  • Formulate a strategic vision and development plan focused on AI products and services

Programme Structure

The program focuses on:

  • AI background and building blocks
  • AI strategic vision and project roadmap
  • Data conditioning
  • Machine learning
  • Hands-on Exercise: Multi-Layer Perceptron (MLP) machine learning model
  • Takeaways
  • Modern computing
  • Human-machine teaming
  • Responsible AI
  • Guidelines for AI deployment
  • Development, security, and operations
  • Fostering an innovative team environment
  • Leadership and resilience
  • Putting it all together

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

Language

English

Credits

3 alternative credits

Delivered

On Campus

Campus Location

  • Boston, United States

What students do after studying Computer Science & IT

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This program is ideal for professionals who are responsible for the successful deployment of AI capabilities and technologies. 
  • Participants are not required to have a deep technical background, but having some familiarity with AI concepts will be helpful.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    4200 USD / full
    4200 USD / full
  • Out-of-State
    4200 USD / full
    4200 USD / full
  • Domestic

    In-State
    4200 USD / full
    4200 USD / full

Living costs

Boston

United States
1560 - 3239 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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AI Strategies and Roadmap - Systems Engineering Approach to AI Development and Deployment
Massachusetts Institute of Technology (MIT)
AI Strategies and Roadmap - Systems Engineering Approach to AI Development and Deployment
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Massachusetts Institute of Technology (MIT)

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