AI Training in Nepal: Driving Innovation and Efficiency

AI Training in Nepal

AI and its Application

Session 1: Introduction to AI (1.5 Hours)

Learning Objectives

  • Understand basic concepts and terminologies of AI.
  • Recognize AI’s current applications, especially in development agencies.
  • Identify potential areas where AI could add value.

Topics Covered

  • Basics of AI: Definitions (AI, Machine Learning, NLP).
  • Overview of AI applications.
  • Common AI tools and trends.

Activities

  1. Day-in-the-Life Visualization
    • Reflect on daily tasks and mark those where AI could assist through automation or insights.
    • Outcome: Annotated timeline of tasks with potential AI interventions.
  2. Impact-Opportunity Matrix
    • Map tasks based on complexity and time consumption.
    • Outcome: Prioritization of tasks for AI implementation.

Resources & Tools

  • Slides with AI concept overviews and case studies.
  • Handouts summarizing AI terminology.
  • Questionnaires for visualization activity.
  • Flipcharts and markers for brainstorming.

Session 2: Prompt Engineering for Professionals (1 Hour)

Learning Objectives

  • Understand fundamentals of prompt engineering.
  • Create accurate, context-rich, and culturally sensitive AI prompts.
  • Refine prompts iteratively while considering ethical and compliance aspects.

Topics Covered

  • Introduction to Prompt Engineering.
  • Key Principles: Specificity, context, clarity, examples, iteration, and compliance.
  • Ethical Considerations: Inclusivity, bias avoidance, and regulatory standards.

Activities

  • Hands-On Prompt Refinement Exercise:
    • Start with a basic prompt, refine it by adding details, and compare outputs.
    • Outcome: Improved understanding of prompt crafting and AI output quality.

Resources & Tools

  • Laptops or tablets with internet access.
  • “Prompt Engineering Tips” handouts.
  • Sample scenarios for practice.

Session 3: AI Tools for Recruitment & Onboarding (1.5 Hours)

Learning Objectives

  • Streamline recruitment and onboarding tasks using AI tools.
  • Automate workflows with Zapier Bots.
  • Extract insights with NotebookLM.
  • Create voice-based messages with Eleven Labs.
  • Design materials using Canva Workkits.

Topics Covered

  • Overview of AI tools for recruitment and onboarding.
  • Practical usage of tools:
    • Zapier Bots: Automating candidate follow-ups and reminders.
    • NotebookLM: Extracting insights from documents.
    • Eleven Labs: Generating voice-based onboarding messages.
    • Canva Workkits: Designing onboarding materials.

Activities

  • Multi-Tool Integration Scenario:
    • Combine tools to automate and enhance recruitment workflows.
    • Outcome: Practical understanding of tool integration.

Resources & Tools

  • Laptops with internet access.
  • Free trial accounts for tools.
  • Sample documents and templates for hands-on practice.

Session 4: Using AI for Engagement, Analytics, and Performance Management (1 Hour)

Learning Objectives

  • Enhance engagement, analytics, and performance management using AI.
  • Use GPT for Sheets for data analysis and reporting.
  • Explore other AI tools for analytics and management.
  • Generate actionable insights from data.

Topics Covered

  1. AI in Engagement, Analytics, and Performance Management
    • Transforming engagement and decision-making through AI.
    • Benefits: Data-driven insights and personalized experiences.
  2. GPT for Sheets
    • Automating data analysis and reporting.
    • Summarizing survey results and identifying trends.
  3. Other AI Tools
    • Analytics: Tableau Public, Google Data Studio, Power BI.
    • Engagement: MonkeyLearn, TINYpulse.
    • Performance Management: 15Five, Lattice.

Activities

  • Hands-On with GPT for Sheets:
    • Summarize survey results and analyze performance trends.
    • Outcome: Practical insights into data-driven decision-making.

Resources & Tools

  • Laptops or tablets with GPT for Sheets installed.
  • Pre-populated Google Sheets with anonymized data.
  • Reference guides for tools and ethical AI usage.

Session 5: AI and Ethics (30 Minutes)

Learning Objectives

  • Understand ethical considerations in AI implementation.
  • Identify potential challenges and biases.
  • Explore future trends in AI and ethical practices.
  • Develop strategies for responsible AI use.

Topics Covered

  1. Introduction to AI Ethics
    • Importance of transparency, fairness, accountability, privacy, and non-discrimination.
  2. Common Ethical Issues
    • Bias and discrimination.
    • Privacy concerns and compliance with data protection laws.
  3. Future Trends and Strategies
    • Shaping AI development through ethical practices.

Resources & Tools

  • Quick reference guides on ethical AI principles.
  • Facilitator-led discussions on real-world scenarios.

This session plan provides participants with a comprehensive understanding of AI, its applications, and ethical considerations, ensuring they are equipped to leverage AI responsibly and effectively in their organizations.

For Queries:
Contact No: +977-9801898004 (WhatsApp)
Email: training@frontline.com.np
URL: www.frontline.com.np