FC
FreshCourses
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Intermediate 14 Wochen ca.

Full-Stack AI & LLM Application Engineer

Master the end-to-end stack required to build, evaluate, and deploy production-ready AI applications using Python, LangChain, OpenAI/NVIDIA APIs, Next.js, and Vector Databases.

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0 of 7 Kurse abgeschlossen Vollständiger Lehrplan schaltet offizielles Abzeichen frei

🪜 Sequenzielle Lernphasen (4 Phasen):

#1

Python & Backend Foundations

Core Python programming, OOP, asynchronous programming, and REST APIs with FastAPI.

🎯 🎯 Skills dieser Phase: Python 3.12, Asynchronous I/O, REST APIs, Git, Virtual Environments

Empfohlene Gratis-Kurse für diese Phase:

freeCodeCamp 100% KOSTENLOS
Scientific Computing with Python Certification
Harvard University 100% KOSTENLOS
CS50: Introduction to Computer Science
#2

Prompt Engineering & LLM Orchestration

Understanding Large Language Models, embeddings, prompt chains, and RAG architectures.

🎯 🎯 Skills dieser Phase: Prompt Engineering, RAG, LangChain, Vector Embeddings, ChromaDB

Empfohlene Gratis-Kurse für diese Phase:

Udemy 100% KOSTENLOS
Internal Audit: Risk, Controls and the Audit Process [EN]
Stanford University & DeepLearning.AI 100% KOSTENLOS
Supervised Machine Learning: Regression and Classification
#3

Frontend Integration & UI UX

Build streaming AI interfaces, chat UIs, and real-time dashboard experiences.

🎯 🎯 Skills dieser Phase: JavaScript, React, Tailwind CSS, WebSockets, Streaming UI

Empfohlene Gratis-Kurse für diese Phase:

Harvard University 100% KOSTENLOS
CS50's Web Programming with Python and JavaScript
#4

Cloud Deployment & Production Scaling

Deploying containerized AI microservices on Docker and cloud platforms with monitoring.

🎯 🎯 Skills dieser Phase: Docker, Linux, Cloud Deployments, Model Latency Optimization

Empfohlene Gratis-Kurse für diese Phase:

The Linux Foundation 100% KOSTENLOS
Introduction to Kubernetes (LFS158x)
Coursera Partner 100% KOSTENLOS
Use SurveyMonkey to Create a Survey and Analyze Results