01 Performance
By the end of this programme, learners demonstrate measurable competence in AI Content Creation. Through 5 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 "Generative AI Landscape"
- Understand and confidently apply the ideas covered in "Prompt Craft"
- Understand and confidently apply the ideas covered in "Content Workflows"
- Understand and confidently apply the ideas covered in "Quality & Ethics"
- Understand and confidently apply the ideas covered in "Capstone Portfolio"
- Complete graded exercises after every module with tutor feedback
- Produce a final piece of work that demonstrates overall mastery
03 Content
Generative AI Landscape
- Text, image, audio & video tools
- Choosing the right tool
- Account & safety setup
Prompt Craft
- Prompt structure & iteration
- Tone, audience & constraints
- Reusable prompt library
Content Workflows
- Blogs & social content
- Graphics & thumbnails
- Short-form video scripts
Quality & Ethics
- Fact-checking & verification
- Disclosure & attribution
- Originality & plagiarism
Capstone Portfolio
- Personal brand content kit
- Client-style briefs
- Presenting your work
04 Knowledge
- Core terminology and foundational principles of AI Content Creation
- Essential knowledge areas within Generative AI Landscape
- Essential knowledge areas within Prompt Craft
- Essential knowledge areas within Content Workflows
- How the different parts of AI Content Creation connect into a coherent whole
05 Skills
- Hands-on ability: text, image, audio & video tools
- Hands-on ability: prompt structure & iteration
- Hands-on ability: blogs & social content
- Hands-on ability: fact-checking & verification
- Hands-on ability: personal brand content kit
- 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 Content Creation with live demonstration and questioning.
Hands-on practice
Supervised individual exercises immediately applying each topic — the majority of contact time.
Mid-programme checkpoint (Content Workflows)
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 Generative AI Landscape
A small but complete piece of work using the first module's skills, submitted through the portal.
Project 2:Build-out project: Content Workflows
A more substantial task combining earlier skills with the middle modules.
Project 3:Final showcase project
A personal project demonstrating full command of AI Content Creation, presented at the end of the programme.
12 Learning Outcomes
- Craft effective prompts for consistent, high-quality output
- Generate articles, graphics and short videos responsibly
- Edit and fact-check AI output to professional standards
- Understand copyright, disclosure and academic-honesty boundaries
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.