WIP: Roadmap to becoming a machine learning engineer in 2020

AI / ML Engineer කෙනෙක් වෙන්නේ කොහොමද? | AI Engineer Roadmap

AI Engineer Roadmap 2025 – Learn AI, ML, Deep Learning, MLOps, and Big Data with projects & resources.

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Complete roadmap to become an AI Security Engineer from zero to advanced — covering Python, ML, Deep Learning, LLM Engineering, RAG Security, Intrusion Detection, Anomaly Detection, and a full Master Project (AI-Powered Security Analyst).

LLM Engineer Roadmap - Junior, Middle, Senior. How to start and develop your skills in LLM and ML

A complete, modern, industry-aligned learning roadmap + implementation to becoming an AI Engineer, ML Engineer, or GenAI Developer. This roadmap includes fundamentals → advanced concepts → GenAI → AI engineering stack → industry-level projects.

# Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

Structured AI and Machine Learning learning workspace covering Python, statistics, feature engineering, machine learning, deep learning, NLP, LLMs, CUDA, and big data.

🚀 A comprehensive roadmap to become an expert ML Engineer, AI Engineer, Data Scientist, or Python Engineer from scratch | Sıfırdan ileri seviyeye ML, AI ve Data Science uzmanı olma yol haritası

🚀 A powerful Personal AI Engineer CLI for Ubuntu. Scaffold production-ready projects (NLP, CV, ML), inspect datasets, diagnose system health (CUDA/GPU), and generate AI project roadmaps instantly.

MLOps Engineer Roadmap 2026. This repository collects the best 100% FREE video tutorials and official documentation to help you become a production-ready MLOps Engineer.

A complete roadmap to become an AI/LLM Engineer in 2026. Free & paid courses, 5 portfolio projects, interview prep, and resources. For software engineers with Python & ML basics who want to break into AI. Covers Transformers, RAG, fine-tuning, agents, LangChain, MLOps, and deployment.

Welcome to the ultimate guide for mastering Machine Learning! Whether you're seeking the most effective approach to learning ML today or intrigued by real-world insights from a beginner's journey, this is for you. Discover key takeaways from my first ML class and explore a comprehensive roadmap tailored for aspiring Machine Learning Engineers.

SkillCoachAI is an AI-powered assistant that evaluates your technical readiness, including key topics and concepts, for roles like Backend Intern or ML Engineer. It provides personalized feedback, identifies skill gaps, and generates a 30-day learning roadmap using advanced LLM capabilities.

This repository documents my journey to becoming a production-ready ML Engineer. It covers data pipelines, feature engineering, model training, deployment, monitoring, and MLOps concepts with clear notes, diagrams, and hands-on projects focused on building reliable, real-world ML systems.

Machine Learning Engineer Roadmap

My path to becoming a machine learning engineer 🚀

My journey to becoming an AI/ML Engineer

100 days ML roadmap to become a Machine Learning engineer.

From zero to ML Engineer — a structured, public roadmap covering foundations, core ML, deep learning, and MLOps. Notes + resources included.

Roadmap for FPGA & ASIC engineers transitioning into AI accelerator design, ML-driven verification, and hardware-aware machine learning.

Evidence-based roadmap to becoming an AI System Engineer. Mathematical foundations, ML systems, production habits, and proof-backed progression.

📊 ML Engineer Transformation: 1,872 learning hours over 24 months Oct 2025 → Sep 2027 | Target: €80-100K Ireland ML role Roadmap: Math → ML Theory → Deep Learning → Production MLOps Building in public | Daily progress tracking

Learning roadmap for AI/ML Engineer roles: 7 phases, study schedules, 100+ resources, progress tracking, interview prep. From math to LLMs, RAG, MLOps, and deployment.

A complete 90-Day AI/ML Engineer Roadmap, from zero to pro. Includes daily video lessons, hands-on projects, datasets, and resources for Python, ML, Deep Learning, GenAI, RAG, LangChain, and MLOps. Built for self-learners aiming for 3-4 years of experience in 3 months.

🤖 Complete A–Z roadmap to become an AI Developer & Prompt/Context Engineer in 12–18 months — from zero CS knowledge to professional career. Covers Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, Agents, Fine-tuning & more.

A 20-week structured roadmap to become a backend-focused fullstack engineer using Nest.js, PostgreSQL, React, and TypeScript, with progressive integration of advanced backend tools, AI/ML microservices, and production-ready deployment practices. Includes projects, real-world features (OAuth, 2FA, WebSockets, Redis, Zod), AI/ML microservices FastAPI

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