Public Speaking and Presentation Course in Kenya

• Benefits of public speaking
• Models of communication
• Elements of the communication process

AI Implementation:

• Speech Outlines: Drafts structured outlines with key points and transitions
• Audience Simulation: Models likely reactions and Q&A to stress-test delivery
• Live Feedback: Flags clarity, pacing, fillers, and timing in real time
• Practice Sandbox: Safe rehearsal space to iterate and refine content
• Human Edge: Connection and emotional storytelling remain uniquely human

• Defining ethics
• Ethics and ethical standards
• Decide when to cite
• Set responsible speech goals
• Provide ethical feedback

AI Implementation:

• Content Screening: Checks drafts for plagiarism, bias, and cultural sensitivity.
• Ethical Review Support: Flags potential issues for revision before delivery.
• Human Oversight: Final ethical and contextual judgments rest with the speaker.

• Classifying Communication Apprehension (CA)
• Learning confidence
• Techniques for building confidence

AI Implementation:

• Confidence Tracking: Monitors growth and progress over multiple sessions.
• Video Analysis: Evaluates tone, posture, and delivery for targeted feedback.
• Improvement Exercises: Suggests vocal and pacing drills to enhance presence.
• Trainer Insight: Reinforces that real confidence stems from human preparation and adaptability.

• Hearing versus listening
• Three A’s of active listening
• Barriers to effective listening
• Strategies to enhance listening
• Providing feedback to speakers

AI Implementation:

• Session Capture: Records sessions and produces time-stamped transcripts
• Key Point Extraction: Identifies themes, action items, and highlights
• Feedback Audit: Checks feedback accuracy against the transcript
• Listening Simulations: Practice summarising and responding to live inputs
• Human-Led Skills: Empathy and attentiveness remain the speaker’s domain

• Approaches to audience analysis
• Categories of audience analysis

AI Implementation:

• Audience Personas: Generates profiles based on demographics and interests.
• Engagement Insights: Provides data on likely attention patterns and preferences.
• Sentiment Prediction: Anticipates audience reactions to tone and content.
• Human Adaptability: Reminds learners that only humans can truly read and respond in real time.

• The topic, general-purpose, specific purpose, and thesis
• Organizational patterns of arrangement
• Outlining your speech
• Conclusion and activities

AI Implementation:

• Outline Drafting: Generates structured speech outlines from topics and objectives.
• Visual Mind Maps: Builds connected maps to organise sections, flow, and transitions.
• Style Personalisation: You refine drafts to match voice, tone, and narrative arc.
• Story Logic: Ensure coherence and persuasive sequencing remains human-led.
• Creative Oversight: AI assists; human creativity and judgment drive final storytelling.

• Functions of introductions
• Preparing the introduction
• Functions of conclusions
• Composing the conclusion

AI Implementation:

• A/B Variants: Generate multiple intro and conclusion options for comparison.
• Engagement Metrics: Track attention, retention, and call-to-action response.
• Emotional Resonance: Analyze sentiment and perceived impact on audience.
• Iterative Refinement: Use insights to polish wording, pacing, and flow.
• Authenticity Check: Final picks stay aligned to the speaker’s voice and intent.

• Methods of delivery
• Vocal aspects of delivery
• Nonverbal aspects of delivery
• Mastering the location
• Preparation, practice, and delivery

AI Implementation:

• Delivery Analysis: Reviews tone, gestures, facial expressions, and pacing.
• Feedback Mode: Offers real-time rehearsal insights in simulated environments.
• Performance Enhancement: Helps refine delivery for different audience settings.
• Human Element: Adaptability, authenticity, and empathy remain distinctly human.

• Effective visual aids
• Types of visual aids
• Slideware design principles

AI Implementation:

• Slide Generation: Converts outlines into clear, visually engaging slide decks
• Design Consistency: Applies layouts, typography, and spacing for a cohesive look
• Storytelling Visuals: Suggests images, icons, and charts that support the narrative
• Flow Alignment: Keeps slides synced to section order, timing, and transitions
• Human Control: You finalize aesthetics and message to ensure brand and intent match

Phase 1 – Task & Workflow Design

Break speaking tasks into preparation, delivery, and evaluation. Assign AI to repetitive tasks (outline generation, slide design, rehearsal feedback). Keep humans responsible for authenticity, emotional intelligence, and live delivery.

Phase 2 – Strategic Implementation Choices

AI implemented for drafting speech structures, designing visuals, and rehearsal simulations. Human-led areas include live speech delivery, handling Q&A, and building trust.

Phase 3 – Productivity vs. Risk Analysis

Measure time savings, error reduction, and scale. Assess risks of over automation (loss of authenticity, empathy). Develop governance frameworks balancing efficiency and authenticity.

Assessment:

• Individual: Workflow diagram with 1–2 page rationale.
• Group: Map “AI Agent vs Human Speaker” workflows and present.

Outcome: Learners will leave able to design AI-supported speaking workflows that save time while keeping authenticity and audience connection at the core.