Digital Marketing for Business
A Practical Bootcamp
Introduction to Digital Marketing
In today’s fast-moving digital world, knowing how to effectively market your business online is not a luxury — it’s a necessity. This 7-day hands-on bootcamp is designed specifically for business owners, managers, and professionals who want to gain real, practical digital marketing skills — fast.
Guided by industry expert, this bootcamp blends strategy, creativity, and tools into a step-by-step learning journey. From crafting a customer persona and building your own website to running paid ad campaigns and measuring ROI, you’ll learn by doing — with real-life case studies, local examples, templates, and guided exercises.
Whether you’re running a small local business or managing marketing for a growing company, this course will give you the confidence and capability to:
- Build your digital presence
- Grow traffic organically
- Launch impactful campaigns
- Understand what works and why
Course Objective
- To empower business owners, managers, and professionals with real, actionable digital marketing skills. By the end of the workshop, participants will be able to plan marketing strategies, create content, build a website, run paid ads, and understand analytics. All using local and relevant examples.
Learning Goals
- To equip participants with advanced Excel techniques, AI-powered productivity (Copilot), and complete data visualization skills using Power BI, Power Query, and Power Pivot for real-world data analysis and reporting.
Training Outlines
The Day 1: Digital Marketing Basics & Strategy Thinking
Objective: Understand what digital marketing is and how to plan effectively.
- What is Digital Marketing?
- Core Channels: SEO, Social Media, Paid Ads, Website, Content
- Understanding AIDA Funnel (Awareness, Interest, Desire, Action)
- Customer Persona & Target Audience
- Building a Simple Funnel for a Business
Hands-On: Create a customer persona + sketch a simple funnel for a local clothing brand.
Day 2: Website & Landing Pages
Objective: Learn the role of websites and how to build one using basic tools.
- What is a Website? Why does it matter?
- Types of Websites: Portfolio, eCommerce, Landing Pages
- Tools Overview: WordPress, Wix, Webflow
- Website Structure: Home, About, Services, Contact
- Landing Page Best Practices
Hands-On: Set up a basic website using WordPress for a service-based business.
Day 3: Content, Creativity & Branding
Objective: Understand brand-building and how to create purposeful content.
- What is Branding? (Visual Identity, Voice, Feel)
- Storytelling for Businesses
- Content Pillars & Strategy
- Design, Copy, and Brand Tone
Hands-On: Build a basic brand board + write 1 tagline + create a 3-post content plan using Canva.
Day 4: Organic Growth — Social Media & SEO
Objective: Learn how to grow traffic and followers without paying for ads.
- Social Media Basics: FB, IG, TikTok, LinkedIn
- Organic vs Paid
- SEO Basics: On-page SEO, Off-page SEO and Technical SEO basics
- Google Search Console Setup
Hands-On: Plan 1 week of content for Instagram + do a basic SEO audit using Search Console.
Day 5: Paid Ads: Meta ads & Google ads
Objective: Understand how ads work and where to start.
- Paid Ads Overview: Meta vs Google
- Campaign Goals: Awareness, Traffic, Sales
- Targeting & Audience Types
- Meta Business Suite Setup
- Ad Copy + Visuals (What works)
- Budgeting and Planning
Hands-On: Write copy + visual idea for 1 campaign. Build mock campaigns in Meta Ads Manager.
Day 6: Paid Ads: Meta Ads Setup
Objective: Set up ad campaigns and learn to manage them confidently.
- Meta Business Manager Walkthrough
- Audience Building: Custom, Lookalike
- A/B Testing Basics
- Ad Types: Image, Video, Carousel
- Reading Campaign Results (CTR, CPC, ROAS)
Hands-On: Set up 1 mock campaign with full setup (no payment). Analyze ad library examples.
Day 7: Analytics & Final Review
Objective: Learn how to measure, analyze, and improve your campaigns.
- Key Metrics: Reach, Engagement, CTR, ROI
- Google Analytics Overview (GA4)
- Meta Ads Performance Insights
- Reporting Templates
- Strategy Recap & Final Q&A
Hands-On: Analyze mock ad data and build a simple report. Final campaign plan presentation.
Wrap-Up:
- Feedback Collection
- Certificate Distribution
Deliverables
- Real-life Business Case Studies
- Access to Recorded Sessions
- Certificate of Completion
- Final Assessment (Simple Campaign Plan)
- 7 Days Post-Workshop Support
Training Details
- Duration: 7 Days | 2 Hours/Day
- Mode: Live Interactive + Video Access
- Includes: Case studies, Templates, Final Assessment, Certificate
AI Training in Nepal: Driving Innovation and Efficiency
Home – Corporate Training – 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.
