AI & Generative AI for Business Professionals
| Preference | Dates | Timing | Registration Fees |
|---|---|---|---|
| Live Online Training (Zoom) | February 2, 4, 9, 11, 16 & 17, 2026 | 7:00 PM - 9:30 PM (Dubai time, GMT+4) | USD 995 |
Course Description
In today’s workplace, AI and generative AI are becoming essential tools for productivity and better decision-making. AI & Generative AI for Business Professionals is a practical, beginner-friendly program that helps professionals understand what modern AI can (and can’t) do—and how to apply it effectively and responsibly—without heavy math or coding.
Through interactive sessions with guided hands-on exercises and real-world examples, participants learn prompt engineering, how to use leading AI tools for writing, analysis, research, and content creation, and how to identify high-impact use cases across business functions. The course also introduces agentic workflows (AI using tools to complete multi-step tasks) and key guardrails such as quality checks, privacy considerations, and responsible AI practices.
Course Outline
Audience
Prerequisites
After the Course
Course Outline
Module 1 – AI & Generative AI Foundations
- Welcome, course overview, and learning outcomes
- What AI vs. Generative AI is (and why it matters for business)
- How large language models work (high-level}
- Capabilities and limitations (accuracy, hallucinations, bias)
- Responsible use basics: privacy, confidentiality, and safe prompting
Module 2 – Prompt Engineering for Business
- Prompting fundamentals: instructions, context, examples, and constraints
- Reusable prompt patterns (summarize, extract, compare, brainstorm, plan)
- Improving output quality: iteration, critique, and verification
- Hands-on: prompts for emails, reports, meeting notes, and proposals
Module 3 – AI Tools for Productivity (Text + Multimodal)
- Using AI as a copilot for writing, reading, analysis, and research
- Working with documents and data: structured outputs, tables, and checklists
- Multimodal AI basics: text-to-image and business-friendly applications
- Hands-on: build a personal “AI toolkit” for daily workflows
Module 4 – Use Cases & Workflow Design (Across Business Functions)
- Finding high-impact use cases in marketing, HR, sales, operations, and finance
- Designing AI workflows: inputs, outputs, roles, and human-in-the-loop approvals
- Quality checks and guardrails to reduce errors and improve reliability
- Hands-on: map 2–3 workflows from your role/industry
Module 5 – RAG & “AI on Your Documents” (Concept + Practical Examples)
- Why grounding matters: when AI needs your internal knowledge
- Retrieval-Augmented Generation (RAG) explained (non-technical)
- Practical examples: policies, FAQs, product docs, and knowledge bases
- Measuring usefulness: accuracy, completeness, and confidence checks
Module 6 – Agentic Workflows, Governance & Capstone
- Agentic workflows: AI using tools to complete multi-step tasks (conceptual + examples)
- Risk and safety: prompt injection, data leakage, and operational controls
- Adoption playbook: selecting tools, rollout, and change management
- Capstone workshop: build a practical AI plan and 2–3 ready-to-use workflows
- Course recap and next steps (personal action plan)
Audience
Course Audience
- Business professionals and managers who want to use AI tools to improve productivity and decision-making.
- Business owners and entrepreneurs seeking practical AI use cases for growth, efficiency, and innovation.
- Team leads, project managers, and product managers who want to identify and design AI-enabled workflows.
- Marketing, sales, HR, operations, and finance professionals looking to apply AI to daily tasks and business processes.
- Strategy, transformation, and innovation professionals evaluating AI adoption and value opportunities.
- Customer experience and service teams interested in AI-assisted support, knowledge bases, and automation.
- Educators and trainers responsible for upskilling teams on practical AI usage.
- Beginners and non-technical professionals who want a hands-on introduction to AI and Generative AI (no heavy math or coding).
Prerequisites
Prerequisites
- Beginner-friendly — no prior AI or programming experience required.
- A laptop/PC with a stable internet connection.
- Curiosity and willingness to practice with AI tools.
After the Course
Learning Outcomes
- Understand core AI and Generative AI concepts, including what modern AI can (and can’t) do in business.
- Use prompt engineering techniques to improve the quality, accuracy, and usefulness of AI outputs.
- Apply leading AI tools to common professional tasks (writing, summarizing, analysis, research, and content creation).
- Identify high-impact AI use cases across business functions and prioritize opportunities with clear ROI.
- Design practical AI-enabled workflows with quality checks and human-in-the-loop approvals.
- Understand the basics of “AI on your documents” (RAG) and when to use it for reliable answers.
- Explain agentic workflows (AI using tools to complete multi-step tasks) and where they fit in business operations.
- Communicate responsible AI practices (privacy, ethics, and governance) and set realistic expectations with stakeholders.
Testimonials
The workshop on big data and machine learning was an excellent introduction to practitioners considering using data science. Ahmed demonstrated considerable teaching talent rooted in his long expertise with systems development.
Very rewarding course. Rare to find a Deep learning course in Dubai that teaches concepts from scratch and provides practical applications. Will definitely recommend.
