AI productivity Foundation & Practitioner
The AI Productivity Foundation and Practitioner Course helps delegates understand how to use AI tools more effectively for prompting, content creation, research, and productivity-focused workflows.
Description
The AI Productivity Foundation & Practitioner Course in United Kingdom helps professionals apply AI tools for prompting, content creation, research, and data analysis. Delegates learn practical techniques to integrate AI into everyday workflows and improve efficiency. This training supports smarter decision-making and digital productivity.
What's Included?
- World-Class Training Sessions from Experienced Instructors
- AI Productivity Foundation and Practitioner Examination
- AI Productivity Foundation and Practitioner Certificate
- Digital Delegate Pack
You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs:Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
Who Should Attend?
This AI Productivity Foundation and Practitioner Course equips delegates with practical knowledge to use AI tools more effectively for research, content creation, analysis, and everyday professional tasks. This training can benefit a wide range of professionals, including:
- Marketing Professionals
- Business Analysts
- Content Creators
- Project Managers
- Entrepreneurs
- Operations Professionals
- Consultants
About This Course
Module 1: Cognitive Foundations and Advanced Logic
- The Science of Large Language Models
- How LLMs predict text step-by-step?
- Why Models Sometimes Sound Confident but are Wrong
- Strengths and Limitations in Workplace Use
- When to Trust AI vs when to Verify
- Tokenisation and Context Windows
- What Tokens are and why they matter
- Managing Long Documents Efficiently
- Reducing Unnecessary Token Usage
- Structuring Prompts for Large Reports
- Handling Multi-Step Conversations
- Understanding Hallucinations
- Types of Hallucinations in Business Contexts
- Fabricated Facts, Links, and References
- Detecting Subtle Reasoning Errors
- Creating Validation Checkpoints
- Safe Prompting Techniques
- Reducing Errors Through Prompt Structure
- Clear Task Framing
- Adding Constraints and Output Formats
- Role-Based Prompting
- Iterative Refinement Workflows
- Using Structured Templates for Consistency
- Prompt Engineering Frameworks
- CO-STAR (Context, Objective, Style, Tone, Audience, Response)
- Applying CO-STAR to Emails, Reports, Proposals
- Standardising Tone for Business Communication
- Building Repeatable Templates
- Chain-of-Thought (CoT) Prompting
- Improving Analytical Reasoning
- Breaking Complex Tasks into Steps
- Increasing Output Reliability
- Practical Lab: The Prompt Laboratory
- Identifying High-Frequency Tasks
- Building a Personal Prompt Library
- Measuring Time Reduction and Efficiency Gains
Module 2: Multimodal Mastery & Creative Workflow
- Visual Intelligence
- How AI Interprets Visual Prompts
- Controlling Style, Format, and Branding
- Generating Professional-Ready Visuals
- Avoiding Generic Outputs
- Midjourney for Professional Assets
- Crafting Structured Image Prompts
- Creating Brand-Consistent Assets
- Iterative Refinement Strategies
- Batch Production for Campaigns
- DALL-E 3 for Marketing Collateral
- Editing and Refining AI Visuals
- Creating Presentation-Ready Images
- Generating Infographics and Product Visuals
- Adapting Visuals for Different Platforms
- Audio & Video AI
- Voice Generation with ElevenLabs
- Script Optimisation for voice AI
- Tone and Pacing Control
- Creating Internal Training Voiceovers
- Sales and Outreach Narration
- Personalised Video Outreach with HeyGen
- Creating Personalised Outreach Videos
- Sales and Marketing Use Cases
- Script Automation
- Scaling Video Production Workflows
- Practical Lab: The Campaign Sprint
- Visual Asset Creation
- AI-Generated Copy
- Video Production and Assembly
- Full 360-Degree Campaign Delivery
Module 3: Data Literacy & Intelligent Analysis
- Natural Language Data Analysis
- Asking Structured Analytical Questions
- Translating Business Questions into Prompts
- Validating AI-Generated Insights
- Recognising Limitations in Automated Analysis
- Querying Excel and CSV Files Without Formulas
- Uploading and Analysing Datasets
- Cleaning Messy Data through Prompts
- Generating Summaries without Manual Formulas
- Identifying Anomalies and Trends
- Automating Repetitive Reporting Tasks
- Trend Analysis and Regression Using AI
- Identifying Growth and Decline Patterns
- Forecasting Scenarios
- Analysing Sales or Performance Trends
- Comparing Multiple Data Sets
- Turning Insights into Decisions
- Web-Augmented Research
- Real-Time Market Intelligence with Perplexity
- Conducting Live Research
- Validating Citations
- Tracking Industry Updates
- Summarising Research Quickly
- Competitor Analysis with GPT-4o
- Structured Competitor Comparison
- SWOT Generation
- Opportunity Gap Identification
- Strategic Positioning Insights
- Practical Lab: The Insight Deck
- Uploading and Cleaning Messy Datasets
- Identifying Hidden Business Opportunities
- Visualising Findings for Board-Level Presentation
Module 4: Personal Systems & Custom AI Assistants
- The No-Code AI Assistant
- Designing Assistants for Specific Roles
- Instruction Layering Techniques
- Workflow Automation Mapping
- Testing and Improving Assistant Responses
- Building Custom GPTs
- Creating Task-Specific AI Agents
- Structuring System Instructions
- Limiting Scope to Increase Accuracy
- Performance Testing
- Uploading Proprietary Knowledge Bases
- Formatting SOPs for AI use
- Structuring Internal Documents
- Creating Searchable Knowledge Assistants
- Managing Updates and Version Control
- Writing Custom Instructions
- Tone and Style Standardisation
- Encoding Professional Communication Patterns
- Guardrails and Boundaries
- Output Formatting Rules
- Productivity Stack Integration
- Connecting AI to Notion
- Automating Documentation
- Enhancing Knowledge Retrieval
- Task Acceleration
- Connecting AI to Slack
- Automating Repetitive Responses
- Internal Q&A Workflows
- Team Productivity Optimisation
- Connecting AI to Outlook
- Email Drafting Automation
- Meeting Summary Generation
- Calendar Productivity Workflows
- Practical Lab: The Digital Twin
- Training an Assistant on Personal Writing Style
- Encoding Job-Specific SOPs
- Deploying Your AI Ghostwriter and Researcher
Assessment
To achieve the AI Productivity Foundation and Practitioner Certification, candidates will need to sit for an examination designed to assess their understanding of practical AI tools, responsible usage, and how AI can be applied to enhance day-to-day workplace productivity. The exam evaluates the candidate’s ability to use AI for research, communication, automation, and decision support while following ethical and organisational guidelines. The exam format is as follows:
- Question Type: Multiple Choice
- Total Questions: 50
- Total Marks: 50 Marks
- Pass Mark: 70%, or 35/50 Marks
- Duration: 60 Minutes
Prerequisites
There are no formal prerequisites for attending the AI Productivity Foundation and Practitioner Course. However, basic familiarity with digital tools and common workplace processes will support better understanding during the training.