AI Training in Nepal: Driving Innovation and Efficiency

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
- 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.
- 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
- AI in Engagement, Analytics, and Performance Management
- Transforming engagement and decision-making through AI.
- Benefits: Data-driven insights and personalized experiences.
- GPT for Sheets
- Automating data analysis and reporting.
- Summarizing survey results and identifying trends.
- 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
- Introduction to AI Ethics
- Importance of transparency, fairness, accountability, privacy, and non-discrimination.
- Common Ethical Issues
- Bias and discrimination.
- Privacy concerns and compliance with data protection laws.
- 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.