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

Artificial Intelligence (AI) Productivity & Prompt Engineering Best Practices
 
Training Methods: Accelerated 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-day 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:   $4,997
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 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 top Artificial Intelligence (AI) frameworks, best practices, analysis, and decision-making models for productivity improvement

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

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

  • Share best AI implementation insights

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 75% experiential discussion and project work

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

Top Course Modules

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

  2. Review of Best Artificial Intelligence (AI) Apps and Tools

  3. Artificial Intelligence (AI) Practical Productivity Applications and Live Demonstrations

Course Content

Top AI 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 large language models (LLM)? Capabilities and limitations?
  • What are multimodal AI applications? AI's 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?

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

The artificial intelligence (AI) courses and case studies can be customized to each industry, including: AI for government and public sector management; AI for justice administration and legal professional services, AI for banking, insurance and financial services management, AI for investment management and asset management; AI for energy, utilities, petroleum (oil and gas) management, AI for trade and retail management, AI in education; AI for healthcare, pharmaceutical, and hospital management; AI for construction and real estate management, AI for agriculture and fishery management; AI for food and restaurant management; AI in telecommunication, transportation, freight and logistics management; AI for aerospace, automotive, and defense, airlines management; AI for hospitality management, tourism, travel and leisure management; AI for media management, and AI for 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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Action Learning.  Thought Leadership.  FAQ. 
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