Python AI Course for Career Growth

🚀 Starting My Journey in AI-Enhanced Programming with Python!  I’ve recently begun my journey in AI-Enhanced Programming Fundamentals, and here’s what I’ve learned so far: 👇 🔹 Understanding Programs & Programming Built a strong foundation of how programs work and how logic is structured. 🔹 Conditionals & Loops Learned how to control program flow using if-else statements and loops for repetitive tasks. 🔹 Functions in Python Explored how to write reusable code using functions and improve code organization. 🔹 Built-in Modules Discovered how Python’s built-in modules can simplify complex tasks. 🔹 Creating Modules & Packages Learned how to structure larger programs using modular programming techniques. 🔹 Debugging Code Understood how to identify and fix errors effectively — a crucial developer skill! 💡 Assignment Highlight: Worked on a real-world inspired scenario to determine the "Man of the Match" 🏏 in a 50-over cricket game. ✔️ Designed separate functions to calculate batting and bowling points ✔️ Organized them into a module ✔️ Imported and used them in the main program to find the top performer This assignment really helped me understand how modular programming works in practice and how to break down problems into manageable pieces. 📌 Key Takeaway: Writing clean, modular, and reusable code is just as important as solving the problem itself. Excited to keep learning and building more projects in AI & Python! 🚀 #Python #AI #Programming #LearningJourney #Coding #Developers #MachineLearning #TechSkills

🚀 Python Basics to Advanced Learning Series – Day 13 Continuing my learning journey at Global Quest Technologies, today’s session was focused on advanced concepts of the Set data structure. What I learned today: • Understanding mathematical operations on sets • union() → combines elements from two sets • intersection() → finds common elements between sets • difference() → finds elements present in one set but not in another • symmetric_difference() → finds elements present in either set but not in both • How these operations work with real examples • Using membership operators (in, not in) with sets • Introduction to Set Comprehension • Writing sets in a short and efficient way using conditions This session helped me understand how sets can be used for mathematical and logical operations efficiently. Practicing these concepts made it easier to understand how data can be compared and filtered. I’m learning step by step as part of my Python Basics to Advanced Learning Journey at Global Quest Technologies, and improving my problem-solving skills every day. Excited to continue learning and explore more concepts 🚀 G.R NARENDRA REDDY #Python #PythonProgramming #LearningJourney #Coding #DataStructures #Sets #ProblemSolving #SoftwareDevelopment #TechLearning #Developers #GlobalQuestTechnologies

Learning a programming language doesn’t make someone a creator — it helps them survive in the field. What truly makes a difference is building muscle memory. When the basics of a language become second nature, the mind is no longer focused on syntax — it’s free to think about design, structure, and problem-solving. A good programmer focuses on reducing friction in the development process. Practices such as touch typing can significantly improve speed and help maintain flow while coding. Instead of spending time recalling syntax, more attention can be given to building systems the right way. Consistently practising common programming patterns also brings structure and predictability, making systems easier to reason about and maintain. This kind of discipline is what gradually shapes a programmer’s thinking — and becomes even more important when moving towards fields like Artificial Intelligence. It’s the approach I’ve been trying to follow in my own Python learning journey. #SoftwareEngineering #Python #DeveloperMindset #ContinuousLearning #ArtificialIntelligence

🚀 Excited to announce something new! Starting tomorrow, I’m launching a 60‑Day Python Learning Series right here on LinkedIn. Each day, I’ll share: + Practical Python concepts + Real-world examples + Tips for writing cleaner, smarter code + Mini challenges to help you grow My goal is simple: share knowledge, learn together, and contribute to the developer community. Over the years, many beginners have asked me: “How do I start thinking like a programmer?” Here’s the truth - it starts with having something in your mind that you can use, practice, and play with. Learning one programming language deeply and solving problems with it trains your brain to think logically. Once you build that mindset, picking up other languages becomes much easier. This series isn’t just about Python. It’s about learning to think like a programmer, becoming flexible, and building confidence through consistent practice. So let’s begin. I’ll be dropping Python content every day for the next 60 days. Day 1 drops tomorrow. Let’s do this - understand it, master it, and use it. #python #programming #ai #bigtech

🚀 I learned Functional Programming in Python — As an M.Sc. Computer Science student, I’ve been exploring new concepts daily, and today I dived into Functional Programming. 💡 What is Functional Programming? It’s a programming style where we write code using functions, avoid changing data, and focus on “what to do” rather than “how to do it.” 🔹 Key Concepts: ✔️ Pure Functions – Same input → Same output ✔️ Immutability – Data is not modified ✔️ Higher-Order Functions – Functions that take other functions as input 🧠 Simple Python Example: Using built-in functions like map(), filter(), and reduce() 👉 Example: map() → applies a function to all elements filter() → selects elements based on condition 🎯 Why it matters? Cleaner and more readable code Easier debugging Widely used in modern technologies (Data Science, AI/ML) 📌 Learning this helped me understand how to write more efficient and structured code. I’m currently exploring more concepts in Python, AI, and Machine Learning. 💬 If you’re learning too, let’s connect and grow together! #Python #FunctionalProgramming #Coding #AI #MachineLearning #ComputerScience #LearningJourney #TechStudents

Getting started in tech can feel overwhelming — too many tools, too many concepts, not enough clarity. So I created these simple, visual cheat sheets to make things easier 👇 🔹 Python Libraries & Tools – Know what to use and when 🔹 AI Basics – Understand key concepts without the jargon 🔹 SQL Essentials – Master queries and data handling 🔹 Git Commands – Version control made simple Whether you're a student, beginner, or switching careers, these quick references can save you hours of confusion. 💡 Small steps daily > random bursts of learning. If this helps, feel free to save it for later and share it with someone who’s starting their tech journey! #Python #AI #SQL #Git #Programming #DataScience #MachineLearning #Developers #TechLearning #CareerGrowth

🎯 I built a Number Guessing Game in Python — and it taught me more than I expected! As a developer expanding into AI automation, I've committed to strengthening my Python fundamentals through hands-on projects. This classic beginner project turned into a real debugging session — and that's where the actual learning happened. 💡 🔍 What the game does: • Accepts a custom Min & Max range from the user • Generates a secret random number within that range • Tracks every valid guess attempt • Validates input and handles errors gracefully • Gives real-time feedback — too high, too low, or correct! 🛠️ Concepts I applied: → random module & randint() → Type hints for cleaner, readable code → Input validation with try/except ValueError → while loops, break & continue → Conditional logic & f-string formatting 🐛 Bugs I caught & fixed in my own code: → Secret number was hardcoded to 1–10, ignoring user's range → Wrong comparison operator (Min <= guess >= Max) → Invalid guesses were being counted as attempts → Bare except: replaced with except ValueError: Debugging your own code is one of the best teachers. Every bug = a lesson you won't forget! 🚀 📂 GitHub: https://lnkd.in/dfSTE3J4 I'm currently building Python skills alongside AI automation using n8n — more projects dropping soon. Follow along if you're on a similar journey! 🙌 #Python #PythonProgramming #100DaysOfCode #LearningInPublic #Debugging #BeginnerDeveloper #CodingJourney #SoftwareDevelopment #AIAutomation #PakistanTech

🚀 Exploring Next-Gen Python Coding Tools As part of my learning journey in AI-Enhanced Programming, I explored how modern AI tools are transforming the way we write code 👇 🔹 Cursor AI Learned how AI-powered editors can assist in writing, understanding, and improving code efficiently. 🔹 GitHub Copilot Explored automated code suggestions that help speed up development and reduce repetitive work. 💡 What I Experienced: ✔️ Faster coding with intelligent suggestions ✔️ Better understanding of code through AI-assisted explanations ✔️ Improved productivity by reducing manual effort 📌 Key Takeaway: AI is not replacing developers—it’s empowering them to write better, faster, and smarter code. These tools are redefining the future of programming, and learning to use them effectively is becoming an essential skill. Excited to integrate these tools into my workflow and build more efficient projects! 🚀 #Python #AI #GitHubCopilot #CursorAI #CodingTools #Developers #LearningJourney #TechSkills #Productivity

You can vibe code almost everything in 2026 🚀 But when it comes to client data, sensitive logic, and production-ready code, would you really trust AI to do everything on its own? 🤔 That is exactly where blind vibe coding starts to fall short. I always say this: ask AI for the logic, verify it properly, understand what it is doing, and then integrate it into your main codebase with confidence. That is why knowing a programming language is still not optional — it is essential. And in this AI era, one skill has become even more valuable and almost non-negotiable: Python. 🐍 The reason is pretty clear by now — Python is simple, powerful, versatile, AI friendly and one of the best languages to actually build with. So yes, in contrast to the first paragraph 😂 I vibe coded this entire repo in just 24 hours and made it public for anyone who wants to get better hands-on practice. Introducing PythonVx — a Python coding platform with continuous animation of code flow, designed to help beginners understand Python in a more visual and interactive way. If you are someone who is just starting out and wants to feel more familiar with how Python actually works, this might be useful for you. Check it out here: https://lnkd.in/gCZ26mep Always welcome for contributions 🙌 Leave a star ⭐️ It is much appreciated. ❤️ Btw, have you ever solved this question in this way? 😅 #Python #Coding #Programming #SoftwareDevelopment #Developer #CodeNewbie #LearnToCode #CodingLife #ArtificialIntelligence #AI #MachineLearning #GenerativeAI #TechLearning #Upskill #CareerGrowth #OpenSource #GitHub #BuildInPublic #DevCommunity #TechContent #Innovation #TechTrends #100DaysOfCode #PythonProjects #LearnPython #PythonBeginner #InteractiveLearning

🚀 𝐅𝐫𝐨𝐦 𝐀𝐛𝐚𝐜𝐮𝐬 𝐭𝐨 𝐀𝐈: 𝐖𝐡𝐲 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐈𝐬 𝐘𝐨𝐮𝐫 𝐒𝐦𝐚𝐫𝐭𝐞𝐬𝐭 𝐂𝐚𝐫𝐞𝐞𝐫 𝐌𝐨𝐯𝐞 𝐓𝐨𝐝𝐚𝐲 Every powerful technology we use today started with something simple. From the abacus to modern computers… From binary numbers to intelligent systems… From complex machine language to human-friendly programming like Python. That evolution tells one clear story: 👉 Technology rewards those who adapt early. 📘 While exploring Introduction to Computer Programming with Python, a few powerful insights stood out: 💡 Programming is not just coding — it’s problem-solving It begins with understanding problems, designing algorithms, and building solutions step by step. 💡 Computers think in logic, not magic Behind every app is a system of numbers, operations, and structured instructions working together. 💡 Python simplifies complexity With clean syntax and versatility, Python makes it easier for beginners to enter tech and for professionals to scale solutions. 💡 Strong fundamentals beat shortcuts Concepts like data types, loops, functions, and algorithms are the real game-changers in long-term growth. 💡 The future belongs to builders From data analytics to AI, Python is at the core of innovation across industries. 🎯 My takeaway: You don’t need to start big. You need to start right. Because in the world of tech, small consistent learning → massive long-term impact. If you're thinking about learning programming in 2026, start with Python… and start today. 👉🏻 follow Alisha Surabhi for more such content 👉🏻 PDF credit goes to the respected owners #Python #Programming #TechSkills #AI #CareerGrowth #Learning #DataScience