01 Performance
By the end of this programme, learners demonstrate measurable competence in AI Chatbot Development. Through 4 structured modules, continuous practical exercises, portfolio-building projects, and a culminating assessment, every learner shows visible progress against the objectives below — supported by feedback from their instructor.
02 Objectives
- Understand and confidently apply the ideas covered in "How LLMs Work"
- Understand and confidently apply the ideas covered in "Conversation Design"
- Understand and confidently apply the ideas covered in "Building the Bot"
- Understand and confidently apply the ideas covered in "Safety & Deployment"
- Complete graded exercises after every module with tutor feedback
- Produce a final piece of work that demonstrates overall mastery
03 Content
How LLMs Work
- Tokens & predictions
- Context windows
- Strengths & hallucinations
Conversation Design
- Persona & tone
- System prompts
- Grounding answers in real data
Building the Bot
- Calling AI APIs safely
- Keeping keys secret
- Chat UI essentials
Safety & Deployment
- Child-safe behaviour rules
- Rate limiting & abuse defence
- Launching your assistant
04 Knowledge
- Core terminology and foundational principles of AI Chatbot Development
- Essential knowledge areas within How LLMs Work
- Essential knowledge areas within Conversation Design
- Essential knowledge areas within Building the Bot
- How the different parts of AI Chatbot Development connect into a coherent whole
05 Skills
- Hands-on ability: tokens & predictions
- Hands-on ability: persona & tone
- Hands-on ability: calling ai apis safely
- Hands-on ability: child-safe behaviour rules
- Independent problem-solving on unfamiliar tasks
- Presenting completed work clearly and confidently
06 Key Competencies
- Critical thinking — analysing problems before jumping to solutions
- Practical execution — finishing real work, not just theory
- Communication — explaining reasoning and results
- Digital tool fluency used responsibly and safely
- Collaboration — giving and receiving useful feedback
07 Values
- Excellence: doing careful, complete work rather than rushing
- Integrity: honest effort, original work and truthful reporting
- Curiosity: asking questions and exploring beyond the lesson
- Responsibility: safe, ethical use of technology and information
- Growth mindset: treating mistakes as steps toward mastery
08 Learning Activities
Guided lessons
Interactive teaching sessions covering each module of AI Chatbot Development with live demonstration and questioning.
Hands-on practice
Supervised individual exercises immediately applying each topic — the majority of contact time.
Mid-programme checkpoint (Building the Bot)
A reviewed mini-assessment confirming understanding before progressing.
Capstone experience
An end-of-programme project or assessment integrating all modules, presented for feedback.
09 Teaching & Learning Resources
- Dynamic Academy course materials and practice sets
- A laptop or desktop with required free software installed
- Internet access for research and tool accounts
- Access to the student portal for announcements, assignments and progress tracking
10 Evaluation Guide
11 Practical Projects
Project 1:Starter project: applied How LLMs Work
A small but complete piece of work using the first module's skills, submitted through the portal.
Project 2:Build-out project: Building the Bot
A more substantial task combining earlier skills with the middle modules.
Project 3:Final showcase project
A personal project demonstrating full command of AI Chatbot Development, presented at the end of the programme.
12 Learning Outcomes
- Explain how large language models generate responses
- Design system prompts and guardrails for helpful behaviour
- Integrate AI APIs into a web app securely
- Test for accuracy, safety and abuse resistance
13 Course Pathway
Learners progress through a guided technology ladder at Dynamic Academy: foundations (Digital Skills / HTML & CSS / Python Programming), then specialisation (Web Development, Artificial Intelligence, Robotics, Game Development, UI/UX Design), then advanced practice (Backend Development, AI Chatbot Development). Each stage's final project feeds the next stage's portfolio.