Greetings, everyone!
The other day, I found an interesting message on a Discord channel:
Senior developer with experience in AI/ML, Blockchain, Web, and Mobile development... - AI/ML → LLMs, RAG, Computer Vision, NLP, Speech AI, TensorFlow, PyTorch. - Blockchain → Smart contracts, DeFi, DEX, NFTs, Solana, Ethereum, Polygon. - Web & Backend → React, Next.js, Node.js, NestJS, FastAPI, Django, GraphQL, Python, C#. - Mobile → React Native, Expo, Flutter. - Databases & Cloud → MongoDB, PostgreSQL, Firebase, Supabase, AWS, Azure, Docker, Kubernetes.
... and I instantly decided that I want to be this guy, and be able to build my own projects. I don't know if this person will ever read my posts, but his message was a huge trigger for me. Last night I could not sleep, and since then I could not think of anything else...
My background is software engineering, but I overspecialized in low-level firmware for systems with critical security requirements. Therefore, a long path ahead before I can call myself a "full-stack polyglot"...
I decided to allocate 25 hours a week for learning, and I asked Gemini to build a development plan for me, which reads as follows:
Phase 1: Establish Core Skills (Approx. 4-6 Months)
This phase focuses on acquiring the foundational languages and tools required for the most in-demand areas: Web/Backend and AI/ML. - Month 1: Modern Python and Backend Fundamentals (Deep dive into Python 3, Introduction to REST APIs and Web Frameworks, Git and GitHub mastery). Project: Create a simple FastAPI backend that allows you to add, view, and delete "tasks" (a To-Do list API). - Month 2-3: Data Science and AI/ML Foundations (NumPy for array manipulation, Pandas for data cleaning and analysis, Introduction to Supervised/Unsupervised Learning, Introduction to Docker). Project: Use Scikit-learn and a Kaggle dataset to build and evaluate a basic classification model. Containerize your Python environment with Docker. - Month 4-6: Full-Stack Integration and Deployment (HTML, CSS, JavaScript, Introduction to React, PostgreSQL basics, SQL queries, and connecting it to your FastAPI backend). Project: Build a React frontend that consumes the data from your FastAPI backend (which now uses PostgreSQL). Deploy the entire stack using Supabase or a free tier of AWS/Azure to get Cloud experience.
Phase 2: Specialization and Portfolio Building (6+ Months)
Once the core skills are solid, you can choose where to specialize first, AI/ML (RAG/LLMs) or Blockchain, as both have significant security implications. - Option A: Focus on AI/ML -- LLMs & RAG: Learn to use Hugging Face models. Focus on RAG (Retrieval-Augmented Generation) architectures. -- Computer Vision/NLP: Pick one. For CV, explore OpenCV and image classification. For NLP, delve deeper into Transformers and sentiment analysis. Project: Build a LLM-powered AI Agent that answers questions based on a set of internal technical documents (a custom RAG system). - Option B: Focus on Blockchain -- Smart Contracts: Learn Solidity (Ethereum/Polygon) or Rust (Solana). -- dApps and Web3: Understand how to connect a frontend (React) to a smart contract using a library like web3.js or ethers.js. Project: Deploy a simple, audited Smart Contract (e.g., a secure escrow or a simple token) and build a React dApp to interact with it.
I realize this is huge and that it will take time. Many of the technologies mentioned, I only know that they exist, but nothing more... Mastering them sounds like a titanic task, and I know that the plan will have to change while I start to get a better understanding of each item in the list.
On the other hand, I'm glad to discover a #learntocode tribe on Hive.
Hopefully, I can get some more advice for the community.
Nevertheless, I intend to keep a journal of my experience. Perhaps others would like to follow a similar path.
Posted Using INLEO