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Python

Course Manifest

{
  "course_id": "python-ai-data",
  "title": "Python for AI and Data",
  "version": "2026-10-14.3",
  "content_status": "draft_for_integration",
  "public_source_url": "https://aabhaai.com/courses/python-ai-data/",
  "publication_performed": false,
  "lab_url": "https://lab.aabhaai.com/",
  "audience": "beginner",
  "planned_effort_hours": "24\u201332",
  "modules": [
    {
      "order": 0,
      "slug": "first-run",
      "title": "0 \u00b7 Run, change, explain",
      "lesson_file": "lessons/00_first_run.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 40,
      "exercise_file": "exercises/00_first_run.py",
      "solution_file": "solutions/00_first_run.py",
      "prerequisite_orders": [],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 1,
      "slug": "values",
      "title": "1 \u00b7 Values, names and types",
      "lesson_file": "lessons/01_values.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 105,
      "exercise_file": "exercises/01_values.py",
      "solution_file": "solutions/01_values.py",
      "prerequisite_orders": [
        0
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 2,
      "slug": "control-flow",
      "title": "2 \u00b7 Decisions and repetition",
      "lesson_file": "lessons/02_control_flow.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 120,
      "exercise_file": "exercises/02_control_flow.py",
      "solution_file": "solutions/02_control_flow.py",
      "prerequisite_orders": [
        1
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 3,
      "slug": "collections",
      "title": "3 \u00b7 Collections and records",
      "lesson_file": "lessons/03_collections.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 120,
      "exercise_file": "exercises/03_collections.py",
      "solution_file": "solutions/03_collections.py",
      "prerequisite_orders": [
        2
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 4,
      "slug": "functions",
      "title": "4 \u00b7 Functions and modules",
      "lesson_file": "lessons/04_functions.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 150,
      "exercise_file": "exercises/04_functions.py",
      "solution_file": "solutions/04_functions.py",
      "prerequisite_orders": [
        3
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 5,
      "slug": "files-errors",
      "title": "5 \u00b7 Files, CSV and errors",
      "lesson_file": "lessons/05_files_errors.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 150,
      "exercise_file": "exercises/05_files_errors.py",
      "solution_file": "solutions/05_files_errors.py",
      "prerequisite_orders": [
        4
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 6,
      "slug": "debug-tests",
      "title": "6 \u00b7 Debugging and tests",
      "lesson_file": "lessons/06_debug_tests.md",
      "lab_profile": "python",
      "additional_profile": null,
      "estimated_minutes": 150,
      "exercise_file": "exercises/06_debug_tests.py",
      "solution_file": "solutions/06_debug_tests.py",
      "prerequisite_orders": [
        5
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 7,
      "slug": "numpy",
      "title": "7 \u00b7 NumPy arrays",
      "lesson_file": "lessons/07_numpy.md",
      "lab_profile": "data",
      "additional_profile": null,
      "estimated_minutes": 150,
      "exercise_file": "exercises/07_numpy.py",
      "solution_file": "solutions/07_numpy.py",
      "prerequisite_orders": [
        6
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 8,
      "slug": "pandas",
      "title": "8 \u00b7 pandas tables",
      "lesson_file": "lessons/08_pandas.md",
      "lab_profile": "data",
      "additional_profile": null,
      "estimated_minutes": 180,
      "exercise_file": "exercises/08_pandas.py",
      "solution_file": "solutions/08_pandas.py",
      "prerequisite_orders": [
        7
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 9,
      "slug": "charts",
      "title": "9 \u00b7 Charts that answer a question",
      "lesson_file": "lessons/09_charts.md",
      "lab_profile": "plot",
      "additional_profile": null,
      "estimated_minutes": 150,
      "exercise_file": "exercises/09_charts.py",
      "solution_file": "solutions/09_charts.py",
      "prerequisite_orders": [
        8
      ],
      "assessment": "three practice tasks, transfer checkpoints and exit check"
    },
    {
      "order": 10,
      "slug": "capstone",
      "title": "10 \u00b7 Capstone: workshop-order audit",
      "lesson_file": "lessons/10_capstone.md",
      "lab_profile": "data",
      "additional_profile": "plot",
      "estimated_minutes": 360,
      "exercise_file": "exercises/10_capstone.py",
      "solution_file": "solutions/capstone.py",
      "prerequisite_orders": [
        9
      ],
      "assessment": "guided bridge checkpoints, public learner-code checks, anchored rubric and changed-input demonstration"
    }
  ],
  "assets": [
    "assets/aliasing.svg",
    "assets/control-flow.svg",
    "assets/data-pipeline.svg",
    "assets/numpy-axes.svg",
    "assets/practice-loop.svg"
  ],
  "datasets": [
    "datasets/study_sessions.csv",
    "datasets/workshop_orders.csv",
    "datasets/stage_checkpoint.csv"
  ],
  "test_command": "python -m unittest discover -s tests -v",
  "readiness_command": "python check_readiness.py",
  "learner_capstone_command": "python check_capstone.py",
  "bridge_answer_file": "BRIDGE_SOLUTIONS.md",
  "solution_visibility": "separate file or collapsed answer reveal after attempt; do not preload as exercise answer",
  "route_policy": "Map to existing website architecture during integration; no new route is asserted live.",
  "release_gates": [
    "Integrate and verify actual site routes/downloads",
    "Verify keyboard and small-screen reading in final site",
    "Run content checks in deployed lab profiles",
    "Conduct beginner usability pilot before claiming teaching validation",
    "Confirm live enrolment/completion copy matches actual product state"
  ]
}

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