Roadmap to becoming a ML/DL/RL developer in 2020

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.

Interactive Developer Roadmaps 🗺️ A visual learning guide. 🗺️ Multiple Roadmaps: Covers Frontend, Backend, Data Science, AI/ML & more. ▶️ Video Resources: Each topic includes curated, in-depth video tutorials. 📱 Responsive Design: Looks great on all devices. 🚀 Zero Dependencies: Just clone and open index.html to start.

🤖 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 curated Microsoft Learn Plan focused on emerging technologies, cloud fundamentals, AI/ML basics, developer tools, and modern software skills. This repository documents my structured learning roadmap, progress, and insights as part of the Microsoft Community Skiller track.

The DevHub Engineers' Portal is a comprehensive platform designed to empower developers across various fields, including Web Development, AI/ML, and Android. It offers direct access to top resources like documentation, roadmaps, interview guidelines, and blog posts.

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My personal roadmap from Software Developer to Data Analyst / Data Scientist. Includes real-world projects, exploratory data analysis, feature engineering, and future ML work.

3-Month AI Fundamentals Roadmap — full structured plan for learning ML/AI basics with weekly topics, theory notes, coding labs, and presentations. Ideal for beginners and junior developers building strong foundations.

This repository tracks my personal roadmap to becoming an AI-focused developer. It includes my study plan, practical projects, curated resources, learning notes, and experiments with GPT models, computer vision, classical ML, and more.

The Ultimate Python Roadmap! An interactive, modern guide from absolute beginner to advanced developer. Features a clean UI, modal-based learning, complete code snippets, and fully working projects (Flask, APIs, Web Scraping, ML). Built to help aspiring developers master Python step-by-step. Happy Coding!

A complete Docker roadmap for Data Engineers, Developers, and MLOps beginners. Learn Docker from basics to real-world projects with clear explanations, hands-on exercises, and deployable mini projects—perfect for interviews, DevOps roles, and ML workflows.

A Flask-based ML app that recommends career paths based on user skills and generates personalized skill roadmaps. Uses trained models and real-world data to suggest roles like frontend developer or data analyst. Built with Python, Flask, Pandas, and Joblib.

🚀🤖 - This central hub showcases my transition from front-end developer to AI-enhanced engineer through a project-based roadmap. Featuring hands-on Python, ML, and full-stack AI projects, it demonstrates practical skills in data analysis, automation, and deployment.

Built by a team of ML/AI and blockchain engineers, deployed by autonomous pipelines—no single developer custody. Practical utilities with a transparent roadmap. The official launch of first version token OTTERTOK is launched on 17 August 2025. More on our website.

DevQuest is a modern, interactive platform tailored for developers of all levels to navigate their learning journey. Whether you're learning Frontend, Backend, DevOps, AI/ML, or niche tech like Blockchain or AR/VR, this app provides structured roadmaps, curated resources, and a progress tracker – all in one hub.