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LEARN WITH A CLEAR DIRECTION

Python for AI Engineering

Learn Python from your first script to a tested application: language fundamentals, files, objects, SQL, HTTP, concurrency, and a document-processing project.

Beginner to AdvancedSelf-paced14 modules42 available lessons

Your path, one skill at a time.

A complete foundation course for the Python programming needed in the AI Engineer, Agentic AI, and FDE paths. Follow 42 original lessons with runnable examples, exercises, and checks. Finish by building a document-processing CLI. This course covers the language and application foundations; specialist numerical and model libraries are introduced in the later AI modules.

Self-paced. Work through lessons and exercises in sequence, or use the final project review to assess existing Python skills.

What you’ll learn

  • Write Python programs using types, collections, functions, and modules.
  • Handle files, errors, configuration, objects, and interfaces.
  • Test code and use SQL, HTTP contracts, and concurrency responsibly.
  • Build and review a reproducible document-processing application.

THE CURRICULUM

Build your knowledge, step by step.

42 lessons across 14 modules. Open a module to explore its lessons and practical work.

01MODULE 01Python 01 · Start programming3 lessons · Self-paced
  • What Python is and how a program runs
  • Editor, terminal, virtual environments, and packages
  • Expressions, names, and basic data types

Learn and practise what python is and how a program runs, editor, terminal, virtual environments, and packages, expressions, names, and basic data types.

  1. 01What Python is and how a program runsLesson · Self-paced
  2. 02Editor, terminal, virtual environments, and packagesLesson · Self-paced
  3. 03Expressions, names, and basic data typesLesson · Self-paced

Ready to move on when: You distinguish a string containing digits from a number and can predict the value of each expression before running it.

02MODULE 02Python 02 · Text and decisions3 lessons · Self-paced
  • Strings, formatting, and Unicode text
  • Comparisons, Boolean logic, and branching
  • Input conversion and defensive validation

Learn and practise strings, formatting, and unicode text, comparisons, boolean logic, and branching, input conversion and defensive validation.

  1. 01Strings, formatting, and Unicode textLesson · Self-paced
  2. 02Comparisons, Boolean logic, and branchingLesson · Self-paced
  3. 03Input conversion and defensive validationLesson · Self-paced

Ready to move on when: All invalid cases fail before downstream processing; boundary values succeed.

03MODULE 03Python 03 · Collections3 lessons · Self-paced
  • Lists, tuples, indexing, and slicing
  • Dictionaries, sets, and record lookup
  • Mutability, aliasing, and safe copying

Learn and practise lists, tuples, indexing, and slicing, dictionaries, sets, and record lookup, mutability, aliasing, and safe copying.

  1. 01Lists, tuples, indexing, and slicingLesson · Self-paced
  2. 02Dictionaries, sets, and record lookupLesson · Self-paced
  3. 03Mutability, aliasing, and safe copyingLesson · Self-paced

Ready to move on when: Your explanation identifies which object is shared at every step, rather than describing all assignment as copying.

04MODULE 04Python 04 · Iteration and transformations3 lessons · Self-paced
  • For loops, while loops, and termination
  • Comprehensions, sorting, and grouping
  • Iterators, generators, and streaming batches

Learn and practise for loops, while loops, and termination, comprehensions, sorting, and grouping, iterators, generators, and streaming batches.

  1. 01For loops, while loops, and terminationLesson · Self-paced
  2. 02Comprehensions, sorting, and groupingLesson · Self-paced
  3. 03Iterators, generators, and streaming batchesLesson · Self-paced

Ready to move on when: The last partial batch is retained, invalid sizes fail, and you can explain when the generator’s work actually runs.

05MODULE 05Python 05 · Functions and modules3 lessons · Self-paced
  • Functions, arguments, return values, and scope
  • Modules, imports, and executable entry points
  • Type hints, optional values, and data contracts

Learn and practise functions, arguments, return values, and scope, modules, imports, and executable entry points, type hints, optional values, and data contracts.

  1. 01Functions, arguments, return values, and scopeLesson · Self-paced
  2. 02Modules, imports, and executable entry pointsLesson · Self-paced
  3. 03Type hints, optional values, and data contractsLesson · Self-paced

Ready to move on when: The missing-value behavior is explicit and you do not claim that an annotation validates incoming JSON.

06MODULE 06Python 06 · Errors and resource management3 lessons · Self-paced
  • Exceptions, traceback reading, and error boundaries
  • Context managers and reliable cleanup
  • Debugging, logging, and reproducible failures

Learn and practise exceptions, traceback reading, and error boundaries, context managers and reliable cleanup, debugging, logging, and reproducible failures.

  1. 01Exceptions, traceback reading, and error boundariesLesson · Self-paced
  2. 02Context managers and reliable cleanupLesson · Self-paced
  3. 03Debugging, logging, and reproducible failuresLesson · Self-paced

Ready to move on when: You can explain the cause, show the failing and passing test, and confirm no sensitive payload is written to logs.

07MODULE 07Python 07 · Files and interchange formats3 lessons · Self-paced
  • Paths, text files, and safe file operations
  • JSON, CSV, and schema validation
  • Dates, time zones, and configuration values

Learn and practise paths, text files, and safe file operations, json, csv, and schema validation, dates, time zones, and configuration values.

  1. 01Paths, text files, and safe file operationsLesson · Self-paced
  2. 02JSON, CSV, and schema validationLesson · Self-paced
  3. 03Dates, time zones, and configuration valuesLesson · Self-paced

Ready to move on when: You distinguish event timestamps from elapsed time and never rely on bool("false") to parse configuration.

08MODULE 08Python 08 · Objects and interfaces3 lessons · Self-paced
  • Classes, instances, and encapsulated behavior
  • Dataclasses, equality, and value objects
  • Composition, protocols, and dependency injection

Learn and practise classes, instances, and encapsulated behavior, dataclasses, equality, and value objects, composition, protocols, and dependency injection.

  1. 01Classes, instances, and encapsulated behaviorLesson · Self-paced
  2. 02Dataclasses, equality, and value objectsLesson · Self-paced
  3. 03Composition, protocols, and dependency injectionLesson · Self-paced

Ready to move on when: Business logic can be tested without network access, and each fake failure produces the intended application outcome.

09MODULE 09Python 09 · Functional tools and reusable behavior3 lessons · Self-paced
  • Functions as values, closures, and callbacks
  • Decorators and preserving function behavior
  • Complexity, profiling, and memory-aware processing

Learn and practise functions as values, closures, and callbacks, decorators and preserving function behavior, complexity, profiling, and memory-aware processing.

  1. 01Functions as values, closures, and callbacksLesson · Self-paced
  2. 02Decorators and preserving function behaviorLesson · Self-paced
  3. 03Complexity, profiling, and memory-aware processingLesson · Self-paced

Ready to move on when: The results match and the report explains expected growth without claiming a universal timing from one machine.

10MODULE 10Python 10 · Testing and project structure3 lessons · Self-paced
  • Unit tests, boundary cases, and assertions
  • Fakes, integration tests, and deterministic fixtures
  • Project metadata, reproducible setup, and CLI design

Learn and practise unit tests, boundary cases, and assertions, fakes, integration tests, and deterministic fixtures, project metadata, reproducible setup, and cli design.

  1. 01Unit tests, boundary cases, and assertionsLesson · Self-paced
  2. 02Fakes, integration tests, and deterministic fixturesLesson · Self-paced
  3. 03Project metadata, reproducible setup, and CLI designLesson · Self-paced

Ready to move on when: A fresh environment can follow the README and run the tests and one sample command.

11MODULE 11Python 11 · SQL and persistent data3 lessons · Self-paced
  • Relational tables, SQL queries, and parameters
  • Joins, aggregates, and pagination
  • Transactions, constraints, and indexes

Learn and practise relational tables, sql queries, and parameters, joins, aggregates, and pagination, transactions, constraints, and indexes.

  1. 01Relational tables, SQL queries, and parametersLesson · Self-paced
  2. 02Joins, aggregates, and paginationLesson · Self-paced
  3. 03Transactions, constraints, and indexesLesson · Self-paced

Ready to move on when: The failed transaction leaves no partial local state and duplicate operation IDs are handled explicitly.

12MODULE 12Python 12 · HTTP and backend boundaries3 lessons · Self-paced
  • HTTP requests, responses, and API contracts
  • API handlers, validation, and separation of concerns
  • Authentication, secrets, retries, and idempotency

Learn and practise http requests, responses, and api contracts, api handlers, validation, and separation of concerns, authentication, secrets, retries, and idempotency.

  1. 01HTTP requests, responses, and API contractsLesson · Self-paced
  2. 02API handlers, validation, and separation of concernsLesson · Self-paced
  3. 03Authentication, secrets, retries, and idempotencyLesson · Self-paced

Ready to move on when: Replays are deterministic, conflicting reuse is rejected, and the limitations of the teaching example are explicit.

13MODULE 13Python 13 · Concurrency and data processing3 lessons · Self-paced
  • Async functions, awaiting, and bounded concurrency
  • Threads, processes, queues, and backpressure
  • Tabular data, arrays, and numerical-library concepts

Learn and practise async functions, awaiting, and bounded concurrency, threads, processes, queues, and backpressure, tabular data, arrays, and numerical-library concepts.

  1. 01Async functions, awaiting, and bounded concurrencyLesson · Self-paced
  2. 02Threads, processes, queues, and backpressureLesson · Self-paced
  3. 03Tabular data, arrays, and numerical-library conceptsLesson · Self-paced

Ready to move on when: Unknown measurements are not counted as zero, and you can explain the difference between a scalar, vector, and table.

14MODULE 14Python 14 · Build a complete Python application3 lessons · Self-paced
  • Design a document-processing CLI from requirements
  • Implement and test the document-processing pipeline
  • Python portfolio review and foundation exit checklist

Learn and practise design a document-processing cli from requirements, implement and test the document-processing pipeline, python portfolio review and foundation exit checklist.

  1. 01Design a document-processing CLI from requirementsLesson · Self-paced
  2. 02Implement and test the document-processing pipelineLesson · Self-paced
  3. 03Python portfolio review and foundation exit checklistLesson · Self-paced

Ready to move on when: You can run, test, explain, debug, and modify the application independently. The checklist values must reflect demonstrated evidence, not simply be set to true.

PROVE YOUR SKILLS

A portfolio you can build, explain, and defend.

  • Run the project from a clean environment.
  • Explain and test input validation, storage, error handling, and duplicate processing.
  • Make a small requirement change and demonstrate a failure case.

Use the final review rubric to identify gaps. Lesson completion tracks study progress; readiness comes from independently demonstrating the work.

Open the portfolio review rubric →