/innovation_studio/

📘 Innovation Studio LMS Curriculum¶

Welcome to the Cortado Group Innovation Studio training archive. This repository contains structured training modules, lessons, assignments, and quizzes designed for TalentLMS import.

Viewing Mermaid Diagrams¶

Mermaid diagrams appear throughout this curriculum. On GitHub they render automatically. Locally you can install a Mermaid plugin for VS Code or use mermaid.live.
See Lesson 00 – Visualizing with Mermaid for a quick primer.

The curriculum is broken into four core modules (3 weeks each), each focused on a critical stage of intern development — from technical foundations to AI, Agile, and productization.

🧭 Course Overview¶

Module	Focus Area	Duration	Key Skills
M01	Software Development	Weeks 1–3	Python, SQL, Algorithms, OOP, Testing
M02	AI-Assisted Development	Weeks 4–6	Prompt Engineering, OpenAI API, Refactoring
M03	Agile and QA	Weeks 7–9	Agile, Kanban, Testing Lifecycle, Peer Review
M04	From Concept to Market	Weeks 10–12	MVP Scoping, GTM Strategy, Technical Demos

Each module includes:

📘 Lessons (video, slides, readings)
🧪 Quizzes (multiple choice, fill-in-the-blank)
📂 Assignments (code submission, documentation)
🏅 Badges and certificates (TalentLMS-integrated)
🧵 Slack prompts for discussion, daily check-ins

📂 Folder Structure¶

/innovation_studio/
│
├── M01_Software_Development/
│   ├── lessons/
│   │   ├── 00_mermaid_basics.md
│   │   ├── 01_markdown_fundamentals.md
│   │   ├── 02_python_basics.md
│   │   ├── 03_sql_foundations.md
│   │   ├── 04_oop_and_algorithms.md
│   │   ├── 05_solid_design_principles.md
│   │   ├── 06_csv_import_export.md
│   │   ├── 07_env_files.md
│   │   ├── 08_init_py.md
│   │   ├── 09_ajax_basics.md
│   │   ├── 10_ui_design_patterns.md
│   ├── quizzes/
│   │   ├── 01_python_quiz.json
│   │   ├── 02_sql_quiz.json
│   ├── assignments/
│   │   ├── crud_project_instructions.md
│   │   ├── crud_project_starter.md
│   │   ├── requirements_spec_template.md
│   └── media/
│       ├── 01_python_video.mp4
│       └── 02_sql_schema.mmd
│
│
├── M02_AI_Assisted_Developer/
│   ├── lessons/
│   │   ├── 01_intro_to_llms.md
│   │   ├── 02_prompt_engineering.md
│   │   ├── 03_using_openai_api.md
│   ├── quizzes/
│   │   ├── 01_prompting_basics.json
│   ├── assignments/
│   │   ├── ai_refactor_exercise.md
│   └── media/
│       ├── 01_llm_demo.mp4
│       └── 02_prompt_examples.md
│
├── M03_Agile_QA/
│   ├── lessons/
│   │   ├── 01_agile_kanban.md
│   │   ├── 02_bug_reporting.md
│   │   ├── 03_browser_console_debugging.md
│   │   ├── 04_tdd_unit_testing.md
│   │   ├── 05_cyclomatic_complexity.md
│   │   ├── 06_testing_types.md
│   ├── quizzes/
│   │   ├── 01_qa_basics.json
│   ├── assignments/
│   │   ├── peer_review_checklist.md
│   │   ├── unit_test_writeup.md
│   └── media/
│       └── kanban_flow_example.mmd
│
├── M04_From_Concept_To_Market/
│   ├── lessons/
│   │   ├── 01_mvp_definition.md
│   │   ├── 02_gtm_strategy.md
│   │   ├── 03_crm_hierarchy.md
│   ├── assignments/
│   │   ├── capstone_guide.md
│   │   ├── business_case_template.md
│   ├── quizzes/
│   │   ├── 01_gtm_quiz.json
│   └── media/
│       ├── 01_capstone_demo_day.mp4
│       └── 02_slide_pitch_template.pptx
│
├── common_assets/
│   ├── badge_icons/
│   │   ├── python_mastery.svg
│   │   ├── ai_prompting_pro.svg
│   ├── certificate_template.md
│   └── orientation_slides.md
│
└── README.md

🚀 Deployment Instructions¶

Use TalentLMS bulk import tools to upload lessons and quizzes by folder.
Assign each intern to the full 4-module course path.
Use built-in gamification to assign badges for each module.
Upload orientation_slides.md as part of the onboarding track.
Encourage daily Slack check-ins aligned with module channels (#m01-python, #m02-ai-dev, etc.).

🧩 Optional Enhancements¶

Streamlit Dashboards: Show cohort progress, quiz scores, or assignment completion.
GitHub Integration: Link assignment repos for real-world collaboration and PR-based feedback.
Notebook Delivery: Deliver .ipynb versions of code exercises for Jupyter-based environments.

📝 Building the Site with MkDocs¶

This repo contains a mkdocs.yml file that organizes every module for easy navigation as a static site.

Preview Locally¶

Install MkDocs with pip install mkdocs.
Run mkdocs serve from the repository root.
Open http://127.0.0.1:8000 to view the docs with live reload.

🚀 Deploy to Production¶

After editing, deploy by:

Building the site:

mkdocs build --clean

2. Uploading to the live server:

scp -r site/* root@162.243.115.198:/var/www/innovationstudio/

📣 Questions or Contributions?¶

All mentors and contributors should edit or submit new modules using pull requests. Use the Slack channel #studio-curriculum-dev to coordinate content reviews.