12 Skills & Technologies to Master for an AI Engineering Career
Want to build a career in AI Engineering?
These are 12 technologies and skills worth learning:
1. Python
2. PyTorch
3. Hugging Face
4. Transformers
5. LangChain
6. RAG
7. Vector Databases
8. FastAPI
9. Docker
10. LLM APIs
11. Prompt Engineering
12. Model Evaluation
You don't need to master everything at once.
Start with Python + ML fundamentals, then gradually move into LLMs, RAG, APIs, deployment, and evaluation.
The goal isn't to collect tools.
The goal is to build real AI applications.
Save this roadmap and start learning.
@Officially_Dev_ En réalité Linux est plus adaptées pour ceux qui s'y connaisse En réalité, Linux est plus adapté aux personnes qui s’y connaissent en administration système, car il faut connaître certaines astuces et utiliser le terminal pour manipuler correctement les fichiers.
@archnarambles Utilisez des outils adaptés pour valoriser votre activité, comme PyCharm pour le développement et draw.io pour la conception de diagrammes.
We've updated Brave's built-in screenshot tool! 📸
You can now take screenshots of a selected area, the full window, or the visible area (the window minus the interface).
Enable it at Settings -> Appearance -> Customize your toolbar. More improvements coming soon!
Canonical joins the Open Secure AI Alliance!
@Canonical is now part of the Open Secure AI Alliance, announced by @NVIDIA with partners across cloud computing, cybersecurity, enterprise software, open source foundations, and AI research. The alliance aims to develop and share open technologies, techniques, and tools to safeguard software and agents in the age of AI.
Read more on our blog: canonical.com/blog/open-secu…#OpenSource#Security#AI
A friend of mine, who was undergoing psychology training, shared a real case.
A newly married woman had become deeply dependent on ChatGPT. From the very beginning, she sought its advice for everything her marriage, her husband's behavior, family issues, even religious practices.
Over time, instead of discussing problems with her husband or family, she relied more and more on AI. Eventually, her marriage deteriorated, she moved back to her parents' home, and within a year, she filed for divorce.
Later, when they consulted a mental health professional, one of the doctor's key suggestions was simple: don't depend on ChatGPT for every life decision.
Limit screen time, and when it comes to important personal matters, talk to people who truly know you your family, trusted friends, mentors, or a qualified therapist.
@ayesha_fatiima GitHub est gratuit pour les utilisateurs individuels, mais les entreprises peuvent profiter de fonctionnalités payantes comme la gestion des équipes, la sécurité avancée, les intégrations CI/CD et le support professionnel.
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From 🇨🇴 in 🇪🇺.
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