AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment offered by MIT University
- Private University
168 acre campus- Estd. 1861
AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment at MIT University Overview
Duration | 5 days |
Total fee | ₹3.07 Lakh |
Mode of learning | Online |
Schedule type | Self paced |
Course Level | UG Certificate |
AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment at MIT University Course details
- For Systems engineers
- For Executives
- For Technical leaders
- For Product directors
- For Team leaders
- For Researchers
- For Entrepreneurs
- 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
- AI is revolutionizing many industries, including energy, consumer products and services, automotive, financial services, national security, healthcare, and advertising. But too often, business and IT leaders take a limited view of AI, focusing almost exclusively on machine learning (ML) methods
- In short, organizations must evolve into a systems engineering mindset to optimize their AI investments
- This program will equip professionals to lead, develop, and deploy AI systems in responsible ways that augment human capabilities
- Over five days, you will examine the trade-offs between roles best suited to humans vs. machines and develop the skills you need to lead and manage high-technology teams
- You will also explore what makes GPUs and TPUs well-matched to executing machine learning algorithms
AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment at MIT University Curriculum
Day 1
Course Introduction
Lecture 1: AI background and building blocks
Lecture 2: AI strategic vision and project roadmap
Fireside Chat
Lecture 3: Data conditioning
Team Proposals
Team Presentations
Day 2
Lecture 4: Machine learning
Hands-on Exercise: Multi-Layer Perceptron (MLP) machine learning model
Lecture 4 Takeaways
Lecture 5: Modern computing
Team Project
Day 3
Lecture 6: Human-machine teaming
Lecture 7: Responsible AI
Fireside Chat
Lecture 8: Guidelines for AI deployment
Team Project
Day 4
Lecture 9: Development, security, and operations
Lecture 10: Fostering an innovative team environment
Fireside Chat
Lecture 11: Leadership and resilience
Team Project
Day 5
Lecture 12: Putting it all together
Team Presentations
Course Wrap-Up
AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment at MIT University Faculty details
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AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment at MIT University Contact Information
77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)