
Claude AI Course
Master Claude AI from the ground up — from writing your first prompt to deploying organisation-wide workflows. This comprehensive guide covers prompt engineering, content creation, coding assistance, research analysis, and responsible AI use. Whether you're an individual professional or leading a team, you'll gain the practical skills to make Claude work harder for you.
What you will learn:
Master the anatomy of effective prompts to produce consistently high-quality Claude outputs.
Apply advanced techniques like chain-of-thought and few-shot prompting to complex tasks.
Build and manage multi-turn conversations without losing context or direction.
Use Claude for professional writing, research, data analysis, and coding workflows.
Design secure, scalable AI workflows with governance standards suitable for team deployment.
Evaluate AI outputs critically using structured fact-checking and bias detection methods.
How you study practically Claude AI Course
How you practise Claude AI Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsIntroduction to Claude AI
Introduction to Claude AI
Lesson 1 • Accessing Claude Across Platforms
Demonstrates the web interface, mobile access, and API entry points available to users. Ensures every learner can independently access Claude before advancing.
Lesson 2 • Understanding Claude's Safety Design
Explains Constitutional AI and the values embedded in Claude's responses. Prepares learners to work within Claude's guidelines productively.
Lesson 3 • What Claude Is and Who Built It
Covers Anthropic's mission, Claude's development history, and its position in the AI landscape. Establishes context for all subsequent technical and practical learning.
Lesson 4 • Core Capabilities and Limitations
Maps what Claude can and cannot do across language, reasoning, and creative tasks. Sets realistic expectations that prevent misuse and frustration.
Chapter 2HideHide detailsSee detailsPrompt Fundamentals and Structure
Prompt Fundamentals and Structure
Lesson 1 • Anatomy of a Good Prompt
Breaks down the components of a prompt: task, context, format, and constraints. Learners identify and apply each component to improve output quality.
Lesson 2 • Formatting Instructions for Claude
Covers how to request markdown, lists, tables, headers, and plain text outputs. Connects formatting control to professional document and communication needs.
Lesson 3 • Instruction Clarity and Specificity
Teaches how vague language degrades output and how precise wording improves it. Learners rewrite weak prompts into high-performing ones through guided practice.
Lesson 4 • Single-Turn vs. Multi-Turn Prompting
Distinguishes one-shot requests from iterative conversations and when to use each. Builds the foundation for advanced conversation management in later chapters.
Lesson 5 • Common Prompt Mistakes to Avoid
Identifies the most frequent errors beginners make and explains why they reduce quality. Learners audit their own prompts against a checklist of anti-patterns.
Chapter 3HideHide detailsSee detailsPrompt Engineering Techniques
Prompt Engineering Techniques
Lesson 1 • Few-Shot and Zero-Shot Prompting
Explains how providing examples guides Claude's pattern matching and output format. Learners build example sets that reliably produce consistent, on-brand outputs.
Lesson 2 • Role and Persona Assignment
Teaches how assigning Claude a role shapes tone, expertise level, and response style. Learners craft persona prompts for consulting, coaching, and editorial contexts.
Lesson 3 • Chain-of-Thought Prompting
Demonstrates how asking Claude to reason step by step improves accuracy on complex tasks. Learners apply chain-of-thought to analytical, mathematical, and decision problems.
Lesson 4 • Constraint and Boundary Setting
Shows how explicit constraints on length, tone, and scope prevent unwanted outputs. Learners write constraint layers that protect quality across varied use cases.
Lesson 5 • Iterative Prompt Optimization
Introduces a systematic test-evaluate-refine cycle for improving prompts over time. Learners build a personal prompt library with versioned, tested templates.
Chapter 4HideHide detailsSee detailsManaging Conversations and Context
Managing Conversations and Context
Lesson 1 • How Claude Remembers Within a Session
Explains the context window, token limits, and how prior messages influence responses. Learners predict and manage context degradation in long conversations.
Lesson 2 • Steering and Redirecting Conversations
Covers techniques for correcting Claude's direction without restarting the session. Learners practice mid-conversation corrections that save time and preserve progress.
Lesson 3 • Ending and Resuming Work Sessions
Addresses the lack of persistent memory and strategies for resuming work across sessions. Learners create session handoff documents that restore context efficiently.
Lesson 4 • Injecting New Information Mid-Conversation
Teaches how to introduce documents, data, or updated instructions into an active session. Connects to real workflows where new inputs arrive during a task.
Chapter 5HideHide detailsSee detailsWriting and Content Creation with Claude
Writing and Content Creation with Claude
Lesson 1 • Editing and Improving Existing Text
Teaches how to use Claude as an editor for clarity, concision, tone, and grammar. Learners submit their own writing and receive actionable, structured feedback.
Lesson 2 • Creative Writing and Storytelling
Explores fiction, narrative, and creative nonfiction generation with Claude. Learners direct plot, character, and style to produce original creative work.
Lesson 3 • Drafting Professional Documents
Covers reports, proposals, memos, and briefs using structured prompts and templates. Learners produce first drafts in minutes that require only light human editing.
Lesson 4 • Content Creation for Marketing and Comms
Applies Claude to social posts, email campaigns, blog articles, and ad copy. Learners match output to brand voice guidelines using persona and constraint prompts.
Lesson 5 • Summarisation and Information Distillation
Trains learners to extract key insights from long documents using targeted prompts. Produces executive summaries, bullet digests, and annotated outlines on demand.
Chapter 6HideHide detailsSee detailsResearch, Analysis, and Problem Solving
Research, Analysis, and Problem Solving
Lesson 1 • Data Interpretation and Explanation
Teaches Claude to explain datasets, statistics, and trends in plain language. Learners translate technical data into stakeholder-ready narratives and summaries.
Lesson 2 • Using Claude for Research Assistance
Covers how Claude synthesises knowledge, generates hypotheses, and maps research gaps. Learners understand Claude's knowledge cutoff and how to verify its outputs.
Lesson 3 • Structured Analytical Frameworks
Applies frameworks like SWOT, pros/cons, and root cause analysis through Claude prompts. Learners produce structured analyses that support professional decision-making.
Lesson 4 • Brainstorming and Idea Generation
Uses Claude to expand creative and strategic thinking through divergent prompting. Learners generate, filter, and prioritise ideas for projects and business challenges.
Lesson 5 • Critical Evaluation of Claude's Outputs
Builds habits for fact-checking, bias detection, and quality assessment of AI responses. Learners apply a structured review checklist before using Claude's outputs professionally.
Chapter 7HideHide detailsSee detailsClaude for Coding and Technical Tasks
Claude for Coding and Technical Tasks
Lesson 1 • Code Review and Refactoring
Uses Claude to identify inefficiencies, improve readability, and enforce best practices. Learners submit code for structured review and apply refactoring recommendations.
Lesson 2 • Debugging and Error Resolution
Teaches how to share error messages and code with Claude for diagnosis and fixes. Learners resolve common bugs faster by structuring debugging prompts effectively.
Lesson 3 • Automating Repetitive Technical Tasks
Applies Claude to script generation, regex creation, and data transformation tasks. Learners identify automation opportunities and prompt Claude to build the required tools.
Lesson 4 • Technical Documentation and Explanation
Generates README files, inline comments, API docs, and plain-language explanations. Learners produce documentation that reduces onboarding time for technical teams.
Lesson 5 • Code Generation Fundamentals
Covers how to prompt Claude for functions, scripts, and boilerplate across languages. Learners produce working code snippets by specifying language, inputs, and expected behavior.
Chapter 8HideHide detailsSee detailsAdvanced Strategies and Workflow Integration
Advanced Strategies and Workflow Integration
Lesson 1 • Measuring and Improving AI Output Quality
Introduces metrics, feedback loops, and continuous improvement cycles for AI workflows. Learners define KPIs for their Claude use cases and track improvement over time.
Lesson 2 • System Prompts and Custom Instructions
Teaches how system prompts set persistent behaviour, tone, and rules for Claude deployments. Learners write production-ready system prompts for specific professional applications.
Lesson 3 • Human-AI Collaboration Best Practices
Defines where human judgment must override AI output and how to structure review steps. Learners apply a collaboration model that maintains accountability and output quality.
Lesson 4 • Integrating Claude via API
Introduces API authentication, request structure, and parameter control for developers. Learners make their first API call and understand how to customise model behaviour.
Lesson 5 • Designing Repeatable AI Workflows
Covers workflow mapping, prompt standardisation, and quality checkpoints for team use. Learners document a complete AI-assisted workflow ready for organisational deployment.
Your valid completion certificate
This course is for you:
Marketing professional: wants to speed up content production with AI.
Software developer: seeks to streamline coding, debugging, and documentation tasks.
Business analyst: needs structured AI support for research and decision-making.
Team lead or manager: plans to roll out AI tools across their department.
Freelance writer: looking to expand service offerings using AI assistance.
Career changer: entering an AI-adjacent role with no prior prompt experience.
What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

I like the content and the way videos are presented and transcribed, which speeds up the process!

The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

Top training programmes
FAQ
Who is Dedika?
Is the certificate valid in Kenya?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course




















