Johns Hopkins University
AI Strategy and Project Management Specialization
Johns Hopkins University

AI Strategy and Project Management Specialization

AI Strategy and Management for Business Leaders. Gain the skills to lead AI projects, implement ethical AI practices, and drive innovation with generative AI strategies in business environments.

Ian McCulloh

Instructor: Ian McCulloh

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 4 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand AI's core concepts, technologies, and their applications in business strategies, preparing for real-world AI project management.

  • Learn the ethical challenges of AI, including bias mitigation, and responsible decision-making in deploying AI solutions at scale.

  • Gain expertise in managing large AI projects, including risk management, resource allocation, and delivering AI systems that scale effectively.

  • Explore generative AI technologies, such as large language models, and their potential to drive innovation across industries and organizations.

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Taught in English
Recently updated!

December 2024

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Specialization - 4 course series

Core Concepts in AI

Course 123 hours

What you'll learn

  • Understand core AI and ML concepts, key vocabulary, and the R.O.A.D. Framework for effective AI project management and implementation.

  • Evaluate machine learning models using performance metrics and understand the tradeoffs in algorithm selection and optimization.

  • Analyze AI algorithms like SVM, Decision Trees, and Neural Networks, identifying their strengths, weaknesses, and practical applications.

  • Assess data quality, calculate inter-annotator agreement, and address resource and performance tradeoffs in AI and ML systems.

Skills you'll gain

Category: Machine Learning Evaluation
Category: Resource Management in AI Systems
Category: Data Quality Assessment
Category: Algorithm Analysis and Optimization
Category: AI Vocabulary Mastery

Responsible AI and Ethics

Course 216 hours

What you'll learn

  • Understand the sources and trade-offs of bias in both human and AI systems, and learn strategies for mitigating these biases in AI implementations.

  • Explore ethical frameworks for responsible AI, focusing on transparency, fairness, and accountability, and gain knowledge of laws surrounding AI.

  • Analyze real-world AI case studies to identify strengths and weaknesses in AI adoption, and understand the considerations for managing AI projects.

Skills you'll gain

Category: Risk Management in AI
Category: Ethical Decision-Making in AI
Category: Critical Analysis of AI Case Studies
Category: Legal and Regulatory Compliance in AI
Category: Bias Detection and Mitigation

Generative AI

Course 312 hours

What you'll learn

  • Understand the theory and applications of generative AI, including transformers, large language models, and symbolic reasoning for content creation.

  • Explore how AI integrates with generative models to improve explainability, control, and responsible AI solutions in real-world applications.

  • Learn how to manage AI projects at scale, focusing on integrating generative and symbolic AI to address ethical considerations.

Skills you'll gain

Category: AI Project Management Strategies
Category: AI Vulnerabilities and Ethics
Category: Generative AI Methods
Category: Transformers and Large Language Models
Category: Symbolic AI Integration

AI Project Management

Course 415 hours

What you'll learn

  • Design scalable AI projects by balancing technical and managerial considerations, addressing resource allocation, and planning for future expansion.

  • Apply effective management strategies, including Agile methodologies and risk mitigation, to optimize delivery of large-scale AI initiatives.

  • Assess AI's impact on labor dynamics, including automation, role transitions, and team diversity, to build efficient and equitable project teams.

Skills you'll gain

Category: Bias Identification and Mitigation
Category: AI Project Lifecycle Management
Category: Agile and Risk Management Techniques
Category: Labor Impact Assessment and Team Structuring
Category: Resource and Scalability Optimization

Instructor

Ian McCulloh
Johns Hopkins University
17 Courses947 learners

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