Launch your full-stack journey with a practical, beginner-friendly path to modern Python web development. Full-Stack FAST API Python takes you from core Python skills to building secure, database-backed APIs with FAST API, then rounds out your toolkit with HTML/CSS, JavaScript, React, and Docker. You’ll learn by doing—creating real features like authentication, pagination, file uploads, and a simple blog—while also practicing AI-assisted workflows and prompt writing to speed up your work. Clear explanations, step-by-step demos, and clean starter projects make this course stand out for learners who want confidence, not confusion.
What You’ll Learn (Course Objectives)
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Write clean Python: data types, functions, OOP, files, errors, and modules.
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Build FAST API back ends with routing, validation, middleware, and dependency injection.
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Persist data with SQLAlchemy and migrations with Alembic; add sorting, filtering, and pagination.
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Secure APIs using OAuth2 with JWT (access/refresh tokens).
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Handle files and streaming: forms, uploads, downloads, and large responses.
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Understand REST fundamentals and good API design.
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Create simple front ends with HTML/CSS, JavaScript, and React basics.
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Use Docker to containerize and run your app.
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Write effective AI prompts to accelerate coding, docs, and testing.
Curriculum Overview (What’s Inside)
1) Python Foundations (Sections 1–8, 15–18)
A fast, friendly ramp-up so you’re comfortable with the language before touching the framework.
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Core syntax & data structures: numbers, strings, lists, sets, tuples, dicts.
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Control flow: if/elif/else, loops, comprehensions, unpacking.
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Functions & modularity: args/kwargs, lambdas, maps/filters.
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OOP essentials: classes, inheritance, composition, dataclasses, magic methods.
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Errors & logging: try/except patterns, custom exceptions, debugging.
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Files & structured data: CSV/JSON/XML, context managers, large-file IO.
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Useful libraries: regex, math, and practical utilities.
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Data tools: NumPy (arrays, broadcasting, linear algebra) and Pandas (IO, cleaning, groupby, joins).
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Documents & spreadsheets: read/write PDFs, Word, and Excel.
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AI & tooling: overview of modern LLMs and AI-assisted IDEs to boost productivity.
2) Visualization & Notebooks (Section 12)
Tell the story in your data with code and helpful prompts:
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Matplotlib, Seaborn, Plotly basics, chart selection, and quick wins.
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AI-assisted chart generation and prompt best practices.
3) Web Essentials (Sections 13–14)
Add real-world capabilities:
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Web scraping fundamentals and safety tips.
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Excel automation for everyday reporting and analysis.
4) FAST API — Monolithic App (Sections 19–21)
Your first end-to-end back end:
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Project setup and clean app structure.
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Auth pages with AI support (sign-in/sign-up flow).
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A simple Blog module: posts, routes, templates, and fixes.
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Architecture fundamentals so you can grow the codebase confidently.
5) REST Foundations (Section 34)
Design better APIs by understanding:
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Resources & URIs, good responses, status codes, and idempotent methods.
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HATEOAS and Richardson Maturity Model (clear, non-jargony explanations).
6) FAST API REST Starter Kit (Sections 35–39)
A reusable template for production-ready APIs:
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Project layout and common parts of an app.
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Dependency injection for clean validation and reuse.
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Global error handling, HTTPException, middleware, CORS.
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SQLAlchemy 2.x (sync vs async), sessions, models, and repositories.
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Alembic migrations (autogenerate, upgrade/downgrade).
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Pagination, sorting, filtering the right way.
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Auth with OAuth2 Password flow, JWT access & refresh tokens.
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Files & streaming: UploadFile, streamed responses, and robust forms.
7) Front-End Basics (Sections 22–43)
Enough front end to connect the dots:
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HTML/CSS layout, assets, and a simple admin theme.
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JavaScript fundamentals: data types, arrays, functions, DOM, async/await, fetch.
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React basics: JSX, functional components, props/state, events, lists, effects, and templates.
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Goal: build small, clean screens to consume your API.
8) Docker Basics (Section 44)
Ship your work with confidence:
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WSL + Docker setup, image building, and running your app locally in containers.
9) Practical Use Case: Full-Stack Starter with IDP (Section 45)
A guided mini-project to tie it all together:
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Keycloak integration (realm import, login, register, protected endpoints).
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Profile endpoints (PUT/DELETE), Swagger “Authorize” flow, and manual testing.
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Common fixes and polish for a smoother developer experience.
Top Skills You’ll Practice: Python, FAST API, REST, SQLAlchemy, Alembic, Auth (OAuth2/JWT), Files/Streaming, HTML/CSS, JavaScript, React (basics), Docker, Prompt Writing.
Why This Course Stands Out (Benefits)
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Hands-on from day one: real features, not toy examples.
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Clear structure: each section builds on the last without jargon.
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Production-minded: pagination, filtering, migrations, auth, and CORS—covered.
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Starter kits included: reuse the REST template to jump-start new projects.
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AI-accelerated workflow: learn prompt patterns to code, document, and test faster.
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Front-end context: enough React to wire up your API and demo features.
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Deploy-ready: Docker basics to run your app consistently.
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Lifetime reference: sections on files, documents, Excel, and scraping for everyday tasks.
Course Structure & Essential Details
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Format: step-by-step videos, short demos, and runnable code.
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Duration: currently ~26 hours 44 minutes of content (and growing).
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Pace: learn at your speed; revisit short, focused lessons anytime.
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Projects:
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Monolithic FAST API Blog with clean architecture.
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REST Starter Kit with SQLAlchemy, Alembic, auth, and pagination.
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IDP Integration with Keycloak (login/register, protected endpoints).
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Practice: mini-assignments, guided fixes, and API testing in Swagger UI.
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Resources: starter templates, example scripts, and configuration snippets.
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Support: practical tips and troubleshooting notes embedded throughout.
Prerequisites: Basic computer skills. No prior web framework experience required. If you’re new to Python, the foundations sections will get you ready.
Who Should Enroll:
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Beginners switching to Python for web development.
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Developers who want a fast lane into FAST API without the jargon.
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Anyone who needs a clean, reusable REST API template for real projects.
What You’ll Walk Away With
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A working full-stack app you understand end-to-end.
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A reusable FAST API starter for new services and features.
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The ability to secure, paginate, and document APIs the right way.
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Confidence using React basics to consume your APIs.
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Practical experience with Docker and AI-assisted workflows to move faster.
Ready to Build?
If you want a clear, practical route to shipping Python back ends—plus enough front end and DevOps to demo and deploy—Full-Stack FAST API Python is your next step. Enroll and start building today.
