Creating real APPS with AI, a practical AI Coding

Posted By: lucky_aut

Creating real APPS with AI, a practical AI Coding
Published 9/2025
Duration: 5h 11m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 4.16 GB
Genre: eLearning | Language: English

being a software engineer dominating the current AI tools but knowing how to code

What you'll learn
- Build real coding projects in Python, TypeScript, Rust, and functional programming using AI support.
- Apply AI as a coding partner: prompt, refactor, debug, and design while still writing code yourself.
- Develop practical apps like dashboards, translators, organizers, and AI assistants for real-world use.
- Gain confidence in core coding skills — from terminal basics to Docker setups and multi-language coding.
- Create a portfolio of 8+ projects to showcase to employers, clients, or collaborators.
- Contribute to an open-source project (Globalia) and get listed as a course contributor.
- Future-proof your software engineering career by learning how AI integrates with modern coding workflows.

Requirements
- No programming experience needed, you will learn all here, but if you know how to code you will also learn even more

Description
Become a modern software engineer who doesn’t just use AI tools, but codes with them.

This course is designed for non-developers or developers who want to stay relevant in today’s AI-driven world. Have you heard about vibe-coding? Yes, they are nice, but only vibe coding will not make you a software engineer, in this course you will lear vibe-coding, be beyond. You’ll learn how tocombine coding skills with the latest AI toolsto build real, practical projects, not just toy demos.

Instead of replacing coding, AI becomes your teammate. You’ll practice how to structure prompts, integrate APIs, and guide models while still writing code inPython, Rust, TypeScript, and a functional language like Clojure.

By the end, you won’t just "ask AI to code", you’ll know how toengineer solutionsthat mix human skill and machine intelligence.Why take this course?

Stay ahead as asoftware engineer in the AI era

Gain hands-on skills inreal coding projects

Understandwhere AI helps and where it fails

Explore how top companies use Python, Rust, TypeScript, and functional programming in production

Learnby doing, not just watching

What you’ll build in this course?World Economies Dashboard– fetch data from a public API and display the top economies with charts.

Budget Assistant– enter expenses, get AI-powered tips on cutting costs or setting income goals.

Hello World Mailer– a minimal website with a simple email sender form using a backend API.

Age Calculator– input your birthdate, instantly see your exact age in years, months, and days.

AI Note Summarizer– paste a long note or text, get back a short summary with key takeaways.

Music Translator Website– full-stack app that translates songs into multiple languages using OpenAI APIs (frontend + backend).

Home Organizer App– start with a web app to store and categorize household items with photos.

Globalia Contributor Project– join as contributors to an existing travel tracker app, collaborating on real open-source code.

Who is this course for?

Non-software engineers that wants to learn how to code already with AI

Software engineers who want to integrate AI into their workflow

Developers curious about Python, Rust, TypeScript, or functional programming with AI

Students who wantreal, practical projectsto showcase on GitHub

Anyone interested in becoming afuture-proof engineerwho codeswithAI, not against it

Who this course is for:
- everyone willing to know how to code and create real projects using AI, in the most different ways, from vibe codings to code assistants
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