Full Stack Python Dev: Fastapi + Javascript + React + Docker

Build, secure, and deploy full-stack FastAPI apps using SQLAlchemy, React, Docker, and AI-assisted development.

What you'll learn
- Design and implement RESTful APIs with authentication (OAuth2 + JWT), database integration (SQLAlchemy + Alembic), and secure file handling.
- Create interactive front-end interfaces using HTML, CSS, JavaScript, and React to connect with FAST API back ends.
- Containerize and manage your applications with Docker for efficient development and deployment.
- Leverage AI tools and prompt writing techniques to speed up coding, debugging, and documentation tasks.
- Apply practical use cases by building a production-ready full-stack starter kit integrated with Keycloak for identity and access management.

Requirements
- A computer or laptop (Windows, macOS, or Linux)
- A stable internet connection to stream lectures and download project files.
- Willingness to install Anaconda, VS Code, and Docker Desktop (each setup is covered in the course)

Description
Launch your full-stack journey with a practical, beginner-friendly path to modern Python web development.Full-Stack FAST API Pythontakes 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)

Write clean Python: data types, functions, OOP, files, errors, and modules.

Build FAST API back endswith routing, validation, middleware, and dependency injection.

Persist data with SQLAlchemyandmigrations with Alembic; add sorting, filtering, and pagination.

Secure APIsusing OAuth2 with JWT (access/refresh tokens).

Handle files and streaming: forms, uploads, downloads, and large responses.

Understand RESTfundamentals and good API design.

Create simple front endswith HTML/CSS, JavaScript, andReact basics.

Use Dockerto containerize and run your app.

Write effective AI promptsto 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.

Core syntax & data structures: numbers, strings, lists, sets, tuples, dicts.

Control flow: if/elif/else, loops, comprehensions, unpacking.

Functions & modularity: args/kwargs, lambdas, maps/filters.

OOP essentials: classes, inheritance, composition, dataclasses, magic methods.

Errors & logging: try/except patterns, custom exceptions, debugging.

Files & structured data: CSV/JSON/XML, context managers, large-file IO.

Useful libraries: regex, math, and practical utilities.

Data tools:NumPy(arrays, broadcasting, linear algebra) andPandas(IO, cleaning, groupby, joins).

Documents & spreadsheets: read/write PDFs, Word, and Excel.

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:

Matplotlib, Seaborn, Plotlybasics, chart selection, and quick wins.

AI-assisted chart generationand prompt best practices.

3) Web Essentials (Sections 13–14)

Add real-world capabilities:

Web scrapingfundamentals and safety tips.

Excel automationfor everyday reporting and analysis.

4) FAST API — Monolithic App (Sections 19–21)

Your first end-to-end back end:

Project setupand clean app structure.

Auth pages with AI support(sign-in/sign-up flow).

A simple Blog module: posts, routes, templates, and fixes.

Architecture fundamentalsso you can grow the codebase confidently.

5) REST Foundations (Section 34)

Design better APIs by understanding:

Resources & URIs, good responses, status codes, and idempotent methods.

HATEOASandRichardson Maturity Model(clear, non-jargony explanations).

6) FAST API REST Starter Kit (Sections 35–39)

A reusable template for production-ready APIs:

Project layoutand common parts of an app.

Dependency injectionfor clean validation and reuse.

Global error handling,HTTPException,middleware,CORS.

SQLAlchemy 2.x(sync vs async), sessions, models, and repositories.

Alembic migrations(autogenerate, upgrade/downgrade).

Pagination, sorting, filteringthe right way.

Authwith OAuth2 Password flow,JWT access & refresh tokens.

Files & streaming: UploadFile, streamed responses, and robust forms.

7) Front-End Basics (Sections 22–43)

Enough front end to connect the dots:

HTML/CSSlayout, assets, and a simple admin theme.

JavaScriptfundamentals: data types, arrays, functions, DOM, async/await, fetch.

React basics: JSX, functional components, props/state, events, lists, effects, and templates.

Goal: build small, clean screens to consume your API.

8) Docker Basics (Section 44)

Ship your work with confidence:

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:

Keycloakintegration (realm import, login, register, protected endpoints).

Profile endpoints(PUT/DELETE),Swagger “Authorize”flow, and manual testing.

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)

Hands-on from day one: real features, not toy examples.

Clear structure: each section builds on the last without jargon.

Production-minded: pagination, filtering, migrations, auth, and CORS—covered.

Starter kits included: reuse the REST template to jump-start new projects.

AI-accelerated workflow: learn prompt patterns to code, document, and test faster.

Front-end context: enough React to wire up your API and demo features.

Deploy-ready: Docker basics to run your app consistently.

Lifetime reference: sections on files, documents, Excel, and scraping for everyday tasks.

Course Structure & Essential Details

Format:step-by-step videos, short demos, and runnable code.

Duration:currently ~26 hours 44 minutesof content (and growing).

Pace:learn at your speed; revisit short, focused lessons anytime.

Projects:

MonolithicFAST API Blogwith clean architecture.

REST Starter Kitwith SQLAlchemy, Alembic, auth, and pagination.

IDP Integrationwith Keycloak (login/register, protected endpoints).

Practice:mini-assignments, guided fixes, and API testing in Swagger UI.

Resources:starter templates, example scripts, and configuration snippets.

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:

Beginners switching to Python for web development.

Developers who want a fast lane intoFAST APIwithout the jargon.

Anyone who needs a clean, reusableREST API templatefor real projects.

What You’ll Walk Away With

A workingfull-stack appyou understand end-to-end.

Areusable FAST API starterfor new services and features.

The ability tosecure, paginate, and documentAPIs the right way.

Confidence usingReact basicsto consume your APIs.

Practical experience withDockerandAI-assisted workflowsto 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 Pythonis your next step. Enroll and start building today.

Who this course is for:
- Anyone with little to no coding experience who wants to start learning Python and build their first real-world applications.
- Students and professionals who want to understand both front-end (HTML, CSS, JavaScript, React) and back-end (Python, FAST API, Docker) development from scratch.
- Developers familiar with Python who want to step up and build production-ready APIs, understand authentication, and integrate databases with frameworks like FAST API.
- Those curious about leveraging AI tools and prompt engineering to accelerate coding, testing, and data visualization workflows.
- Professionals looking to expand their automation and web integration skills using Pandas, NumPy, and API endpoints for data-driven projects
- Learners transitioning into tech who need a guided, hands-on approach to mastering one of today’s most in-demand full-stack stacks.
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