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Python Fundamentals

Name: Python Fundamentals
Availability: InStock

with LaunchFar AI

8 weeks63 lessons

Production Python for AI and ML work: 63 hands-on challenges across 21 modules, each one a bite-sized exercise you run right in your browser. Built for developers and data practitioners moving into AI engineering. Personalized to your skill level so you only see the modules you actually need.

Syllabus

1. Meet the runtime
- Meet the runtime6 min
2. Hello World & Python Setup
- Logging an LLM trace line4 min
- Debug: the boot banner is broken5 min
- Annotating a model retry budget5 min
3. Variables & Assignment
- Three variables every LLM call needs5 min
- Decrementing a per-tenant token budget5 min
- Unpacking an LLM trace tuple5 min
4. Data Types Overview
- Five types every trace record carries5 min
- Inspecting a value's type at the API boundary5 min
- Asserting an integer at the data-quality gate5 min
5. Numbers & Math
- Adding up the cost of an LLM batch5 min
- Chunking a long document for the embedding pipeline5 min
- Compound expression for a confidence-weighted retry budget5 min
6. Strings
- Reading model identifiers a character at a time5 min
- Slicing a request ID into prefix, body, and reverse5 min
- Debug: the name builder drops the space and miscounts5 min
7. Input & Output
- Reading the user's chat prompt before the LLM call5 min
- Parsing a token-count string from a log line5 min
- Parsing a numeric string from an export6 min
8. Strings, Continued
- Building a prompt template6 min
- Normalising a model identifier with `.upper()` and friends5 min
- Splitting a CSV log line into a list of fields5 min
9. Lists
- Building the routing service's allow-list4 min
- Picking a model out of the routing list4 min
- Adding a new model to the routing list with `.append()`5 min
- Checking whether a model is on the allow-list4 min
- Counting batched embedding requests with `len()`3 min
10. Booleans
- Comparing a call's latency against its budget4 min
- A guardrail gate built from `and`, `or`, `not`5 min
11. If / Else
- Alerting when token usage crosses the threshold4 min
- Routing chat versus batch on the streaming flag4 min
- Multi-tier model routing with `elif`5 min
12. Loops
- Numbering retry attempts in a back-off loop4 min
- Walking the retrieved chunks for a RAG response3 min
- Polling a job queue with a `while` loop4 min
- Stopping the retry loop on first success with `break`4 min
- Numbering retrieved chunks for a re-rank display4 min
13. Functions
- Writing the smallest LLM-side trace helper4 min
- Writing the parameterised greeting helper5 min
- Writing a helper that returns the per-call product5 min
- Writing a greeting helper with a default name5 min
- Returning sum and product from a usage parser4 min
14. Error Handling
- Catching a malformed token-count parse4 min
- Guarding per-token cost math against zero token counts4 min
- A safe cost calculator with sentinel-string fallback5 min
15. None & Optional Values
- Marking a not-yet-rated trace with `None`3 min
- Guarding the cost aggregator against not-yet-set scores3 min
16. Tuples & Sets
- Reading an immutable allow-list snapshot tuple4 min
- Deduplicating a model-name list with a set4 min
17. Dictionaries
- Looking up a per-tenant config value by key4 min
- Adding a new model entry to the per-tenant config4 min
- Iterating a per-model price dict for the cost report4 min
18. List Comprehensions
- Building a list of squared latencies in one expression4 min
- Filtering high-latency calls with a comprehension `if`4 min
- Squaring only the even-indexed traces in one pass4 min
19. Nested Data
- Walking a list of trace dicts to extract names4 min
- Walking a per-tenant config's list of allowed models4 min
- Aggregating per-team token spend across nested config5 min
20. Classes & Objects
- A Book class with title + author attributes5 min
- Adding a `describe` method to a Rectangle class5 min
- Two ModelConfig instances, two different model targets4 min
- Capstone: a PromptTemplate class8 min
21. Capstone: the mini cost reporter
- Capstone: the mini cost reporter18 min

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1. Meet the runtime

2. Hello World & Python Setup

3. Variables & Assignment

4. Data Types Overview

5. Numbers & Math

6. Strings

7. Input & Output

8. Strings, Continued

9. Lists

10. Booleans

11. If / Else

12. Loops

13. Functions

14. Error Handling

15. None & Optional Values

16. Tuples & Sets

17. Dictionaries

18. List Comprehensions

19. Nested Data

20. Classes & Objects

21. Capstone: the mini cost reporter

Start this course