AI for Business with Workflow Automation

The AI for Business & Workflow Automation Course is an intensive 5-day program designed to equip professionals with the knowledge, tools, and hands-on experience to integrate AI and automation into their daily business processes.

This course covers everything from AI fundamentals and prompt engineering to workflow automation, business intelligence, and AI-driven decision-making. Participants will engage in real-world case studies, practical demos, and hands-on labs, ensuring they leave with practical, actionable AI skills.

Participants will also receive an introduction to Make.com and n8n, two powerful automation platforms, learning how to set up AI-powered workflows using AI agents and agencies for business efficiency.

By the end of the course, participants will have a fully developed AI strategy tailored to their business needs and the ability to automate repetitive business processes, improve communication, and enhance decision-making with AI tools.

This course is ideal for:

1. Business Professionals looking to enhance efficiency with AI-powered automation.
2. Entrepreneurs & Startups wanting to integrate AI into their business model.
3. Project Managers & Team Leaders seeking AI-driven collaboration tools.
4. Customer Service & Sales Teams, using AI for engagement and communication.
5. Data Analysts & Business Strategists leveraging AI for business intelligence.

Day 1: Foundations of AI & GPT-Based Business Tools

Goal: Understand AI fundamentals, GPT-based tools, and AI-driven business communication.

Lecture 1: Understanding AI & GPT-Based Tools

• Demo: AI in Everyday Life – Live demo using ChatGPT, Claude, and Jasper AI.
• Lab 1: Exploring AI Chat Assistants – Hands-on practice with AI chatbots.

Lecture 2: The Power of Prompt Engineering

• Demo: Good vs. Bad Prompts – Comparing structured vs. vague prompts.
• Lab 2: AI-Assisted Email Drafting – Using AI to draft and refine emails.

Lecture 3: AI for Business Communication & Collaboration

• Demo: AI in Customer Service – AI-generated customer support scenarios.
• Lab 3: AI-Powered Customer Interactions – Simulating AI-driven customer support.

Lecture 4: AI Ethics & Bias Awareness

• Demo: Detecting AI Bias – Running AI queries to identify bias.
• Lab 4: Identifying AI Bias – Testing real-world examples and mitigating AI bias.

Day 2: AI for Productivity & Workflow Automation

Goal: Learn how AI enhances productivity and automates workflow tasks.

Lecture 5: AI for Personal & Team Productivity

• Demo: AI for Scheduling – AI-powered time management.
• Lab 5: Automating Task Lists – AI-driven task prioritization & scheduling.

Lecture 6: AI in Business Workflow Automation

• Demo: AI-Powered Report Generation – Automating document creation.
• Lab 6: AI-Driven Data Entry & Reporting – Automating spreadsheet tasks.

Lecture 7: AI in Meeting Summaries & Knowledge Management

• Demo: Real-Time AI Transcription – AI summarizing a live or pre-recorded meeting.
• Lab 7: AI-Powered Meeting Summaries – Generating AI-driven meeting notes.

Lecture 8: Real-World AI Workflow Use Cases

• Demo: AI Workflow in Action – Showcasing AI task automation.
• Lab 8: Workflow Optimization – Creating an AI-powered workflow.

Day 3: AI for Business Intelligence & Decision-Making

Goal: Use AI for business intelligence, risk assessment, and strategic decision-making.

Lecture 9: AI in Business Intelligence & Market Analysis

• Demo: AI-Driven Market Research – Analyzing industry trends.
• Lab 9: AI-Powered Market Research – Extracting insights from AI.

Lecture 10: AI for Risk Assessment & Decision Making

• Demo: AI-Powered Risk Predictions – Risk detection via AI.
• Lab 10: AI for Risk Assessment – Simulating business risk analysis.

Lecture 11: Developing an AI Strategy for Business

• Demo: AI Strategy Generator – AI-assisted strategy planning.
• Lab 11: Building an AI Strategy – Developing an AI adoption roadmap.

Lecture 12: Data Privacy & AI Security

• Demo: AI Security Breach Simulation – Testing vulnerabilities.
• Lab 12: AI Security & Privacy – Implementing best security practices.

Day 4: Future-Proofing AI & Automation in Business

Goal: Ensure secure AI adoption and build an AI strategy for long-term success.

Lecture 13: AI Security & Compliance

• Demo: AI Compliance Audit – Checking AI for security risks.
• Lab 13: AI Compliance Check – Auditing AI tools for compliance.

Lecture 14: AI in Emerging Industries

• Demo: AI Transforming Healthcare & Finance – Industry case studies.
• Lab 14: AI for Industry Innovation – Experimenting with AI applications.

Lecture 15: Building a Long-Term AI Strategy

• Demo: AI Forecasting Future Trends – AI predicting business success.
• Lab 15: AI Roadmap Development – Creating a long-term AI strategy.

Lecture 16: AI & Human Collaboration

• Demo: AI vs. Human Decision-Making – Comparing AI and human insights.
• Lab 16: AI & Human Decision-Making – Testing AI-generated insights.

Day 5: Bonus: ½ Day on Make.com + ½ Day on n8n | (AI-driven automation with agents & agencies)

This course is fully immersive, equipping participants with real-world AI applications to drive productivity, efficiency, and business transformation.