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Artificial Intelligence (AI) Productivity Course (Top AI Course!)

Artificial Intelligence (AI) Productivity & Prompt Engineering Best Practices
 
Training Methods: Action Learning Course and Workshop
Course Venue: USA West (Jan to Dec): Las Vegas. Los Angeles. San Diego. San Francisco. Seattle.
USA East (Jan to Dec): Chicago. Dallas. Houston. New York (NYC). Washington, DC. Miami.
Canada (May to Nov): Vancouver. Toronto. Montreal
Europe (May to Nov): Amsterdam. Barcelona. Dublin. Frankfurt. Geneva. London. Madrid. Milan. Paris. Rome. Vienna. Warsaw. Zurich.
Ask for on-demand and unlisted course venues.
Course Duration: 3 days (2 days seminar + 1 day project)
Course Times: 9:30 AM - 3:30 PM
Course Dates: Management Training Calendar
Ask for on-demand and unlisted training dates..
Course Fees:  $5,997
Group Discounts:   10% for 2 delegates. 15% for 3 or more delegates. Government and non-profit delegates receive up to 20% discount for 5 or more delegates. Valid only for Las Vegas venue.
Course Delivery: This course is delivered in-person (in classroom) at the institute's venue. If you have a special customization request such as topics, hours, duration, location, or delivery methods, including blended-learning (hybrid in-person and online learning), or corporate groups vs. one-to-one executive coaching, please indicate that in the registration form.
Course Advantage: Client Testimonials. Training Excellence. CEO Club. Thought Leadership.
Course Registration: Apply

Course Audience

  • Business and government employees, managers, and entrepreneurs

  • If you are a CEO, C-level managers, or a senior government executive, please consider the Artificial Intelligence (AI) Strategy Course that focuses on AI business strategy, planning and governance

  • Note: This advanced seminar is designed for government and business professionals. We do not accept students seeking initial employment, postsecondary education, or initial licensing programs

Course Objectives 

  • Provide an overview of the Artificial Intelligence (AI) multi-modal applications Review the Artificial Intelligence (AI) multi-modal frameworks, best practices, analysis, and decision-making models for productivity improvement

  • Explore hands-on demo applications of various artificial intelligence (AI) in business context

  • Provide detailed examples of promote-engineering for better answers.

Training Focus

  • Develop user skills and competencies in identifying and deploying Artificial Intelligence (AI) applications in business organizations or government agencies with emphasis on improving organizational productivity.

Training Model

  • Experiential action learning

  • 25%-50% seminar and 50-75% experiential discussion and project work

  • The development and evaluation of management skills are based on KASAC training model

Key Course Modules

  1. Introduction to Basic Data Science, Big Data, Artificial Intelligence (AI) and Machine Learning

  2. Artificial Intelligence (AI) Practical Productivity Applications and Demo

Course Content

Top AI executive questions answered in the course

  • What are generative Artificial Intelligence (AI) applications? How does AI compare to human intelligence? What are its capabilities and limitations?
  • What are multimodal AI applications? What are its capabilities and limitations?
  • What Large Language Models (LLM) What are their capabilities and limitations?
  • What are the different applications of AI in business and government sectors? 
  • Practical demos of language models (LLM) & multimodal AI applications for productivity improvement
  • How can AI change R&D, production and delivery of products and services, and customer support and workforce productivity in general?

Courses By Industry - Optional Customization(For Group Training):

The management training and case studies can be customized to each industry, including: government and public sector management, banking, insurance and financial services management, investment and asset management, energy, utilities, oil and gas management, trade and retail management, education management, pharmaceutical, healthcare, hospital management, construction management, real estate management, agriculture and fishery management, food and restaurant management, telecommunication and information technology management, transportation, freight and logistics management, aerospace, automotive, airlines management, hospitality management, tourism, travel and leisure management, media management, and manufacturing management.

Performance Evaluation (Optional)

  • Performance can be evaluated on the basis of individual or team project deliverables

  • There are no Q&A exams or tests. Candidates can choose to complete customized experiential work-based projects such as developing a relevant analysis document, management strategy, action plan or a senior management presentation

  • The course advisor will review the deliverables and provide improvement feedback

  • The evaluation is a form of management consulting and experiential coaching for performance improvement

Training Course Registration

Artificial Intelligence (AI) Productivity Course

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