Practical Ai resources for every stage of your journey

Seven-Day Course Syllabus

See the complete seven-day programme, topics and learning plan before starting the course.

Day 1 Handbook

The self-study guide for Day 1 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 2 Handbook

The self-study guide for Day 2 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 3 Handbook

The self-study guide for Day 3 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 4 Handbook

The self-study guide for Day 4 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 5 Handbook

The self-study guide for Day 5 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 6 Handbook

The self-study guide for Day 6 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Day 7 Handbook

The self-study guide for Day 7 of Ai Zero to Hero in 7 Days. Read it alongside the videos and keep a copy for revision.

Ai Learning Roadmap

Follow a clear sequence from Ai literacy and data foundations to applications, evaluation and responsible deployment.

• 10 learning stages
• Progress checkpoints

Ai Foundations Cheat Sheet

Compare Ai, Machine Learning, Deep Learning, Generative Ai, algorithms, models and essential workflow terms.

• Core definitions
• Important distinctions

Ai Problem Definition Worksheet

Turn a broad idea into a clear problem, user need, desired outcome, boundary and measurable success condition.

• Problem framing
• Success evidence

Ai Use-Case Selection Scorecard

Compare candidate ideas using value, data readiness, feasibility, adoption, risk and implementation effort.

• Weighted scoring
• Stop conditions

Ai Solution Canvas

Plan the complete solution across users, inputs, Ai capability, outputs, evaluation, operations and responsible use.

• One-page project map
• Decision prompts

Data Readiness Checklist

Review relevance, access, consent, quality, labels, coverage, leakage, security and ongoing ownership.

• Data quality checks
• Governance checks

Algorithm Selection Cheat Sheet

Match classification, regression, clustering, forecasting and recommendation problems with strong starting methods.

• Task-to-method map
• Baseline guidance

Prompt Design Worksheet

Define the task, context, constraints, evidence, output structure and evaluation examples for a reliable prompt.

• Prompt drafting
• Test-case table

Model Evaluation Report

Document the evaluation question, test data, baseline, metrics, group results, failure cases and decision.

• Metric table
• Release decision

Responsible Ai Checklist

Check purpose, affected people, privacy, fairness, safety, transparency, oversight and incident response.

• Pre-release review
• Human oversight

Model Card Template

Record intended use, training background, evaluation results, limitations, risks and maintenance ownership.

• Transparent documentation
• Known limitations

Deployment & Monitoring Checklist

Verify serving, access control, rollback, latency, quality monitoring, drift alerts and operational ownership.

• Release readiness
• Monitoring plan