AI & Applied AI
Explain what AI systems can and cannot reliably do in business contexts
AI & Applied AI teaches freelancers, operators, builders, and African SME teams how to use artificial intelligence responsibly in real work — with clear briefs, evaluation rubrics, escalation when outputs fail, and human oversight throughout.
LEARN what AI can and cannot reliably do, how generative systems differ from other approaches, and how to design prompts and workflows with acceptance criteria. BUILD an AI Task Fit & Risk Brief and an AI-Assisted Business Workflow Evidence Pack. GROW the judgment to evaluate quality, manage hallucinations, and document decisions you remain accountable for.
This programme focuses on applied, professional AI use — not machine-learning engineering, AI research, advanced RAG systems, or autonomous agent engineering. Completing it earns an Africoders Certificate of Completion. It is not a vendor certification, professional licence, or employment guarantee. Paid specialist courses may supplement learning — they are not required to finish this programme.
What you will learn
- Explain what AI systems can and cannot reliably do in business contexts
- Distinguish generative AI from other AI approaches and choose fit-for-purpose uses
- Apply LLM concepts (context, failure modes, trade-offs) without mystique
- Design prompts and iteration loops with clear briefs and acceptance criteria
- Evaluate outputs with rubrics, comparisons, and human judgment
- Detect and manage hallucinations with grounding and escalation
Who this course is for
- Freelancers and operators integrating AI into client or internal work safely
- Product teammates who need to specify AI features with realistic expectations
- SME teams adopting AI with documentation and review discipline
- Builders who want portfolio evidence of evaluated AI use
Skills you will develop
AI literacy · Generative AI · LLM concepts · Prompt design · Output evaluation · Hallucination management · Human-in-the-loop workflows · Responsible AI · Privacy and security in AI use · Professional documentation
Prerequisites
- Comfort writing clearly in English (local languages welcome in examples)
- Ability to use common workplace tools (docs, sheets, browsers)
- Willingness to document prompts, reviews, and decisions
- No machine-learning degree required
Who this is for
- Freelancers and operators integrating AI into client or internal work safely
- Product teammates who need to specify AI features with realistic expectations
- SME teams adopting AI with documentation and review discipline
- Builders who want portfolio evidence of evaluated AI use
Prerequisites
- Comfort writing clearly in English (local languages welcome in examples)
- Ability to use common workplace tools (docs, sheets, browsers)
- Willingness to document prompts, reviews, and decisions
- No machine-learning degree required
Skills you’ll develop
Course completion demonstrates these skills. Verification requires assessment or reviewed challenge work.
What you will build and prove
- Practice: Practice: What AI is and is not in professional work
- Project: Capstone: AI-Assisted Business Workflow Evidence Pack
- Final assessment: AI Foundations assessment (pass 70%)
Course journey
Learn → Practice → Build → Prove. Lessons teach the idea. Practice applies it. The project is what you can submit as evidence.
- AI Fundamentals
- Generative AI
- LLM Concepts
- Prompting Craft
- Evaluation
- Hallucination Management
- AI Workflows
- Automation with AI
- Responsible AI
- Privacy and Security
- AI-Assisted Research and Professional Workflows
- Portfolio Project
Practice
1 optional practice exercise — apply what you learned. Practice is not required to complete the course.
Assessment
- AI Foundations assessment · pass mark 70%
Prove
Course completion means finishing required lessons , required assignments , the course project , and the course assessment . That grants a certificate of completion — not a professional certification. Optional practice does not block completion.
Builder Passport evidence is awarded for the completed project, not for watching lessons or passing a quiz alone.
Curriculum
Week 1: AI Fundamentals
- What AI is and is not in professional work Preview Practice 32min
- Types of AI systems practitioners meet 32min
- African business use cases and hard limits 34min
Week 2: Generative AI
- Generation versus classification and prediction 32min
- Modalities: text, image, audio, and code candidates 32min
- When generative AI helps or hurts 32min
Week 3: LLM Concepts
- Tokens, context windows, and memory myths 34min
- Capabilities and failure modes 34min
- Model and tool trade-offs 32min
Week 4: Prompting Craft
- Briefing models like professionals brief humans 32min
- Structured prompts and examples 34min
- Iteration loops that learn 32min
Week 5: Evaluation
- Task success criteria and gold references 34min
- Human review rubrics 32min
- Comparing outputs and tools fairly 32min
Week 6: Hallucination Management
- Spotting fabrications and overconfidence 32min
- Grounding, retrieval, and citation discipline 34min
- Refusal, escalation, and human ownership 32min
Week 7: AI Workflows
- Human-in-the-loop workflow design 34min
- Multi-step pipelines and handoffs 34min
- Tool use and verification 34min
Week 8: Automation with AI
- Automate versus assist decisions 34min
- Batch versus interactive patterns 32min
- Handoffs and service quality 34min
Week 9: Responsible AI
- Bias, fairness, and inclusion checks 34min
- Disclosure and stakeholder honesty 32min
- Lightweight impact assessment 34min
Week 10: Privacy and Security
- Data classification and handling rules 34min
- Prompt injection awareness and data leakage 36min
- Access control and retention 32min
Week 11: AI-Assisted Research and Professional Workflows
- AI-assisted research with source discipline 34min
- AI-assisted professional writing and analysis 34min
- Documenting AI-assisted work for portfolios 34min
Week 12: Portfolio Project
- Selecting the portfolio business problem 32min
- Building evaluation and oversight into the capstone 36min
- Presenting limitations and professional boundaries 32min
Free to enroll — no purchase required.
Instructor: Africoders
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