AI Strategies, Productivity and Practices
Streamlining the office with AI
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award Description
Beyond the hype: Practical AI for workplace automation
In this highly practical specialization for the nontechnical professional, students explore the characteristics of generative AI and learn real-world AI applications to improve workplace productivity.
You’ll explore AI use cases and learn to streamline your daily tasks, such as document and presentation creation, report generation, and project management—all using readily available, free AI technology and by refining your AI prompts.
Strategic innovation. Responsible AI integration.
By implementing the principles of generative AI, students address ethical challenges while deploying new models.
- Get hands-on practice with freely available AI-enhanced tools.
- Learn efficient natural language prompts for generating content.
- Experience robotic process automation (RPA).
- Integrate AI intelligence.
- Evaluate agent performance.
- Explore advancements toward human-level control.
- Increase your understanding of the ethical, responsible, and security aspects of AI.
By the end of the program, you'll be empowered to leverage AI effectively for personal and professional growth in diverse settings and have a comprehensive understanding of AI technologies, ethical implications, and practical applications across industries.
Learning Outcomes
- Optimize AI technology for specific needs.
- Address ethical challenges while deploying effective generative AI models.
- Enhance workplace productivity via freely available AI-enhanced tools and prompt engineering.
- Set up and evaluate simple agents for task automation.
Program Overview
Estimated Cost: $2,275 (You pay only for courses you enroll in.)
Program Requirements: 7.5 CEUs
Minimum Hours of Instruction: 75 hours
Estimated Duration: A Student can complete the program in 6–9 months.
Modality: You can complete this program fully online, in person, or choose a mix of course formats.
Special Programs: This program is not approved for workforce or international students.
Courses
1. Required Courses: You must complete the four courses below.
2. Completion Review:
Meet Our Instructors
Specialization Inquiry Form
Advisory Board
Program Chair
HIEN LUU, M.S, head of machine learning infrastructure at Zoox, has over 20 years of experience designing and developing scalable web applications and big data infrastructure and applications at Silicon Valley companies, such as DoorDash, LinkedIn, Uber, Netflix, and Yahoo. Learn more.
Requisite Knowledge
We recommend that you launch your studies in AI Strategies, Productivity and Practices with AI Essentials or have equivalent knowledge.
