Python · Beginner

AI & Prompt Engineering

Fifty-six lessons on prompts, hallucination, privacy, guardrails and the Python behind the academy’s own assistant, ending with a capstone you can show an employer.

56 steps, written for someone starting from zero: the lessons plus a checkpoint quiz task after every ten. Each lesson opens with a starting point you have to change, not the finished answer. Work through it in order and you finish with a program you wrote yourself — the kind of thing you can show in an interview, not a certificate you bought.

56 tasks 6 sections 0 done

Start task 1

Thinking about AI

1 What AI really is Concept —
2 Where AI helps an academy Concept —
3 Tokens and limits Concept —
4 Prompts are instructions Concept —
5 The four-part prompt Concept —
6 Give examples Concept —
7 Ask for a format Concept —
8 Hallucination Concept —
9 Never paste private data Concept —
10 Check the work Concept —

Prompt engineering

11 Python: your first AI call Python —
12 Sizing a request Python —
13 Temperature Python —
14 Max tokens and cost Python —
15 The system prompt Python —
16 Guardrails Python —
17 The FAQ bank Python —
18 Fallback answers Python —
19 Log and read Python —
20 The human in the loop Concept —

Build the assistant

21 Clean the text Python —
22 Keywords, not sentences Python —
23 Scoring a match Python —
24 Write the answer copy Python —
25 Link the answer Python —
26 The admission reply Python —
27 Build a fee table Python —
28 Answer an objection Python —
29 Follow up Python —
30 Measure quality Concept —

Content and quality

31 A working rule-based bot Python —
32 Add an answer without breaking anything Python —
33 Handle a missing answer Python —
34 When to add a real model Python —
35 Bias and fairness Concept —
36 Accessibility of chatbots Concept —
37 Privacy policy Concept —
38 Cost control Python —
39 Version your prompts Python —
40 Test with real questions Python —

Real work and portfolio

41 AI for notices Concept —
42 AI for lesson outlines Concept —
43 AI for practice questions Concept —
44 AI for student feedback Concept —
45 Where the job market is Concept —
46 Build a portfolio Concept —
47 Estimate tokens for a real prompt Python —
48 Read a number out of a message Python —
49 Summarise simply Python —
50 Schedule the reminder Python —

Capstone: the pieces of an agent

51 Estimate the cost of a prompt Python —
52 Fill a prompt template Python —
53 Score similarity with a dot product Python —
54 Chunk a document for retrieval Python —
55 Add a guardrail before the answer Python —
56 Plan an agent's steps Python —

Final exam and certificate

Twenty questions from the whole track. Pass mark is 60%. Retakes are free and the best score is the one printed on your certificate.

Create a free account to take the exam