#Software Development Roadmap

I need Followers 🥲 Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps? You’re not alone. That’s why I mapped it all out—so you can see exactly how everything fits together: 🔹 Frontend: Flutter, React Native, Swift, Kotlin 🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit 🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase 🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock 🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL 🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit 🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run 🔹 Memory / Storage: SQLite, Core Data 🔹 Distribution: App Store, Play Store 💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster. 👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first? Follow @navokitech #softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode #navoki #careertips #mobiledev #mobiledevelopment #mobileappdevelopment #appdeveloper #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode #programmerslife💻 #generativeai #aicreator #learnai #roadmap

Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]

🚀 roadmap to becoming a software developer becoming a software developer is a journey that requires consistency, curiosity, and continuous learning. this roadmap outlines a structured path from fundamentals to landing your first developer role. 📚 year 1 – fundamentals build strong programming basics, learn git & github, understand web fundamentals, and create your first portfolio project. 🧠 year 2 – core cs & projects master data structures & algorithms, learn databases and sql, strengthen debugging and oop skills, and build real-world projects. 💡 year 3 – specialization choose your domain like web development, data science, ai/ml, cloud, mobile, or cybersecurity. develop advanced skills and work on real-world projects and internships. 🎯 year 4 – job & career focus on interview preparation, system design, coding practice, building a strong resume, and applying for internships and developer roles. ✨ remember: consistency, practice, and real projects matter more than just theory. 🔧 keep learning, keep building, and keep improving. software development, programming roadmap, developer journey, coding skills, web development, data structures, algorithms, system design, full stack development, cloud computing, machine learning, developer career, coding projects, programming fundamentals, tech career #softwaredevelopment #programming #coding #webdevelopment #datastructures

Full Stack Developer RoadMap Hello 👋👋👋👋👋🤗🤗🤗🤗 Developer's 👩‍💻🧑‍💻👩‍💻🧑‍💻👩‍💻🧑‍💻👩‍💻 Call us for Personalized training more practicals less theory . 💻 Master Tech Skills with Bits Technology! 🚀 Join our expert-led classes in Mahadev Nagar, Pune, and learn: ✅ Web Development (HTML, CSS, JavaScript, PHP, MySQL) ✅ Programming (C, C++, Python, Java) ✅ Excel & Advanced Excel – Master data analysis, reporting, and automation! ✨ Why Choose Bits Technology? 🔹 Hands-on Training 🔹 Real-world Projects 🔹 Career-Oriented Approach 📅 New Batches Starting 📞 Contact Us Today: 9096271380 / 9689859378 🌐 bitstechnology.in #BitsTechnology #WebDevelopment #PHP #MySQL #ExcelTraining #AdvancedExcel #LearnCoding #ComputerClassesPune #MahadevNagar #mahadevnagari #public #everyone #developer #CSE #computer #programmer #html #css #htmlcoding @highlight

If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming

Web dev roadmap for beginners. #coding #programming #webdev #beginners

Top 12 System Design Concepts Every Software Engineer Should Know 🚀 If you want to design scalable, reliable systems or crack backend/system design interviews, you must understand these core concepts: • Load Balancing • Caching • API Gateway • Service Discovery • Rate Limiting • Auto Scaling • CDN (Content Delivery Network) • Message Queue • Circuit Breaker Pattern • Database Sharding • Consistent Hashing • Publish–Subscribe Pattern These concepts power real-world systems used by companies like Netflix, Uber, Amazon, and Google. Understanding them will help you build high-performance distributed systems. 💾 Save this post for your System Design learning journey. 👇 Comment “SYSTEM” and I’ll share a complete System Design learning roadmap. #systemdesign #backenddeveloper #softwareengineering #java #springboot

Coding roadmap here 👇 . . C Programming 2-Month Roadmap Week 1: Learn syntax, variables, data types, operators, and basic I/O Week 2: Master conditional statements, loops, and nested control flows Week 3: Understand functions, recursion, and scope rules Week 4: Dive into arrays, strings, and their manipulation Week 5: Learn pointers, pointer arithmetic, and arrays with pointers Week 6: Work with structures, unions, enums, and typedefs Week 7: File handling, dynamic memory allocation (malloc, calloc, free) Week 8: Solve problems on data structures using C (linked list, stack, queue) Resources: YouTube: CodeWithHarry, Neso Academy, Jenny’s Lectures Practice: HackerRank C Track, GeeksforGeeks C Problems . . #coding #roadmap #programming #cprogramming #pythonprogramming #javaprogramming #beginners #newstart #motivation

How to start with Web Development? 2023 #coding #development #webdevelopment #coding #programming

I'm Anu, I'm a Software Engineer at Google, If I had to start preparing for Google in 2025, Here’s the roadmap I would follow: ☑️ Timeline: → 3 months on DSA + System Design → 3 months on full-stack projects + DevOps + GenAI → 4–5 hours a day is more than enough if you stay consistent. 1️⃣ Pick one language: Java, C++, or Python — choose one and master it. 2️⃣ Learn DSA & System Design: Focus on graphs, trees, recursion, and DP. Read engineering blogs to understand real-world system design. 3️⃣ Master Full Stack Development (MERN Stack): Build projects that cover both frontend and backend (client and server side). Learn how real systems work end-to-end. 4️⃣ Understand DevOps: Learn CI/CD, testing, deployment, and how software is shipped. 5️⃣ Explore Generative AI: Learn how to use APIs from OpenAI, Gemini, Claude, etc., and build projects that integrate these tools. 6️⃣ Mock interviews: Once you’ve covered the basics, start mock interviews (technical + HR) with engineers from Google or your target companies who can give you honest, practical feedback. This journey won’t be easy, and you might face technical roadblocks, time management issues, or self-doubt. So, don’t hesitate to connect with senior SDEs, they’ll help you stay on track and get placed at your dream company. 💯 All the best! If you’ve reached here, follow @its.anu.sharma for more such content. I help you to crack big tech. [software, coder, developer, google, hiring, interviews, tips, personal, story, experience, algorithms, cs students, computer science] #SoftwareEngineer #TechJourney #CodingLife #GoogleIntern #CSFundamentals #FullStackDeveloper #CodingContests #TechInterviews #WomenInTech #CareerTips

Learning DevOps is essential for streamlining software development and operations, enabling faster delivery, improved collaboration, and greater agility in today's tech landscape. #devopstraining #devops #devopslearning #devopslearningpath #roadmap

On Google search 👇🏼 System Design Roadmap takeUforward Thank you @gkcs__ for helping us to cover this! #engineering #softwareengineer #coding #programming #systemdesign #hld #lld #interviews #trending #coding #programming #faang #google #amazon #microsoft #striver #engineer #placements