Professional Growth
AI & Automation
AI-Augmented Productivity: From Prompting to Automation
Objective: Transform daily workflows into high-efficiency, AI-supported systems. Move from manual interaction to advanced agentic automation pipelines.
📅 Date
May 24-28, 2027
📍 Location
Nairobi, Kenya
⏱️ Duration
5 Days Comprehensive
💰 Investment
USD 750/KES 97,500
🎯
Target Audience
Executives, Project Managers, Team Leads, Operational Professionals, and Information Workers seeking to supercharge their daily operations.
Course Curriculum
Day 1: The Modern AI Tech Stack & Advanced Prompting
Day 1 sets the foundation by moving past "Basic ChatGPT" and exploring the ecosystem of specialized models and advanced interaction techniques.
01
Module 1: The 2026 AI Landscape for Professionals
- LLM Personas: Choosing between Claude (Reasoning), GPT-o1 (Logic/Coding), and Gemini (Multimodality).
- Local vs. Cloud AI: Privacy-first on-device AI for sensitive corporate data protection models.
02
Module 2: Advanced Prompt Engineering (The "Co-Pilot" Mindset)
- Chain-of-Thought (CoT) & Few-Shot Prompting: Structuring reasoning paths to solve multi-step professional tasks.
- The S.U.P.E.R. Formula: Leveraging Skills, Uninterrupted time, People, Energy, and Relevance.
03
Module 3: Hands-on Lab: Personal Productivity Map
- Audit your current active work calendar and map low-value vs. high-value processes.
- Identify high-leverage "AI Entry Points" to optimize or offload manual tasks.
Day 2: Intelligent Content & Communication Management
Day 2 focuses on "The Inbox & The Draft"—eliminating the friction of professional communication and content creation.
04
Module 4: AI for Communication & Meetings
- Meeting Assistants: Deploying Fireflies or Otter.ai to extract 5-point action items from transcripts.
- Email Orchestration: Utilizing Microsoft Copilot or Gemini for Gmail to prioritize, summarize, and draft inboxes.
05
Module 5: Collaborative Content Creation
- Multi-Modal Content generation: Interactive pitch decks with Gamma, contextual visuals with Midjourney, and reports via Jasper.
- Brand Consistency: Engineering and training custom GPTs / Claude Projects on unified corporate identity voices.
06
Module 6: Lab: The "Inbox-Zero" System
- Build and deploy an automated filter and compilation mechanism.
- Synthesize incoming high-volume industry newsletters and deep research feeds into a tailored daily executive briefing.
Day 3: Data-Driven Decision Making & Research
Day 3 shifts from "creating" to "thinking"—using AI to analyze complex datasets and extract strategic insights.
07
Module 7: AI-Powered Research & Knowledge Management
- The Search Evolution: Moving from legacy search engines to Perplexity for cited, real-time authoritative research.
- Internal Knowledge Graphs: Using Notion AI or Mem to chat contextually with local organizational PDF archives and documentation.
08
Module 8: Data Analysis for Non-Data Scientists
- The Data Analyst Persona: Uploading large spreadsheets to advanced LLM engines for trend identification and visualization.
- Predictive Frameworks: Harnessing computational reasoning models to forecast milestone timelines or budget variances.
09
Module 9: Lab: The Strategic Brief
- Process raw, unstructured 50-page industry data reports.
- Deploy specialized prompting workflows to convert bulk data into an executive 1-page departmental SWOT analysis.
Day 4: Automation & Agentic Workflows
This is where productivity truly scales. We move from "manual AI" to "automatic AI" using orchestration tools.
10
Module 10: Introduction to AI Orchestration
- Zapier & Make.com Integration: Interconnecting LLMs to over 6,000 enterprise applications (Slack, Salesforce, Trello).
- Triggers & Operational Loops: Constructing robust conditional "If This, Then AI" behavioral pipelines.
11
Module 11: Building AI Agents (The 2026 Breakthrough)
- Agentic Workflows: Architecting specialized AI "teammates" capable of self-corrective, multi-step autonomous tasks.
- No-Code Enterprise Bots: Developing Zapier Agents to independently screen incoming customer requests or nurture pipeline leads.
12
Module 12: Lab: The "Virtual Assistant" Build
- Engineer a complete automated lead pipeline: Detect a new system inbound lead (Trigger).
- Process and enrich profile information utilizing targeted web-connected AI lookup loops (Process).
- Draft a deeply personalized, contextual follow-up message to the CRM outbound queue (Output).
Day 5: Ethics, Security, and Your AI Roadmap
The final day addresses the "Guardrails" and ensures long-term sustainability of your new AI habits.
13
Module 13: AI Ethics, Bias & Data Privacy
- The Hallucination Filter: Systematic validation protocols to verify outputs and audit source material citations.
- Data Sovereignty & Security: Preventing "Shadow AI"—strategies to leverage language models without exposure risks to corporate IP.
14
Module 14: Change Management & AI Leadership
- Operational Adaption: Frameworks for transitioning corporate teams into AI-assisted tasks while mitigating displacement anxiety.
- Policy Architectures: Drafting corporate AI compliance guidelines, acceptable use parameters, and governance blueprints.
15
Module 15: Final Capstone: Your AI-Augmented Roadmap
- Construct and defend your personal 30-day corporate transformation integration roadmap.
- Outline targeted immediate software adoption phases, KPI markers, and calculate clear time-savings ROI models.
🚀 Course Learning Outcomes
By the end of this course, participants will be able to:
- ✔ Master the art of multi-step, structured advanced prompting strategies to solve intricate professional challenges.
- ✔ Architect, test, and deploy automated multi-app orchestration workflows that reclaim 5–10 hours per work week.
- ✔ Execute high-level complex data transformations, statistical cross-referencing, and spreadsheet trends without code.
- ✔ Strategically navigate data compliance, corporate privacy policies, and security guardrails of modern AI tools.
Ready to register for this Masterclass?
Corporate group packages and specific onboarding custom dates are available.