120 Days Study Plan to Become an AI-Focused Full-Stack Software Engineer
Hello there, my name is Oumaima, and I am an MLSA studentambassador from Morocco, studying at the University Of The People. Welcome to the first step in my exciting, unpredictable journey, one I’ve chosen to embark on with you! For the past three years, I’ve watched the AI industry evolve dramatically. Generative AI has shifted from a fascinating experiment to an integral part of our everyday lives, whether at school, work, or even in our personal routines. In fact, my ChatGPT app is now my go-to therapist, lawyer, and all-around advisor! As a software engineering student for over three years, I’ve seen the growth of generative AI up close. But this shift didn’t just inspire me; it made me realize that I don’t want to remain only a consumer of this technology. I want to contribute to it! Seeing AI’s ability to mimic human thought, draw connections from vast amounts of information, and deliver impressive results sparked something in me. It showed me that the best way to break into AI might just be to use AI itself as my guide. That’s when the idea came to ask ChatGPT O1-preview for a personalized study plan, crafted uniquely for me. It takes into account my available time, coding background, learning preferences, mental health, and energy. Here’s how my journey began with a simple prompt: I want to become an AI-focused full-stack software engineer and have 120 days to dedicate to this goal. Please create a detailed 120-day study plan tailored for me, dedicating 3-4 hours daily. The study plan should: - Cover all essential topics including programming foundations, data structures and algorithms (DS&A), mathematics for AI, machine learning fundamentals, deep learning, advanced AI topics, integrating AI into applications, web development basics for AI integration, advanced web development, full-stack project development, scripting, DevOps, and career development. - Include weekly breakdowns and daily tasks. - Provide recommended resources for each topic (e.g., online courses, tutorials, documentation). - Suggest hands-on projects or exercises to apply the concepts learned. - Incorporate tips for success, such as active engagement, seeking feedback, balancing depth and breadth, and maintaining well-being. - Emphasize developing all the skills that will make me an irreplaceable software developer, including scripting and DevOps skills. - Conclude with a summary and final advice. Please ensure the plan is structured, comprehensive, and practical for someone balancing work and study. Then it generated the following plan, that I tried to follow by using Microsoft Learn learning paths that offer in depth trainings on each topic I got: Days 1–25:Programming Foundations & Data Structures and Algorithms (DS&A) Microsoft Learn path suggestion: Python for beginners Days 26–50:Mathematics for AI & Machine Learning Fundamentals Microsoft Learn path suggestion:Introduction to machine learning Days 51–80:Deep Learning & Advanced AI Topics Microsoft Learn path suggestion:Train and evaluate deep learning models Days 81–100:Integrating AI into Applications Microsoft Learn path suggestion:Microsoft Azure AI Fundamentals: Generative AI Days 101–115:Advanced Web Development & Full-Stack Project Development Microsoft Learn path suggestion:Build an AI web app by using Python and Flask Days 116–120:Portfolio Projects and Industry Trends. Not going to lie, the roadmap turned out to be even more exciting than I’d expected! When I asked for it, I specified that it should guide me through developing problem-solving skills directly tied to full-stack development. I wanted a path that not only sharpens my abilities but also allows me to build interesting, hands-on applications where I canseethe results of what I’m learning. And now, my friends, the journey has officially begun! I’ll be following the roadmap closely, documenting my weekly progress to learn AI, noting the challenges, and celebrating the accomplishments. The goal is to see if artificial intelligence can really help create a customized study plan that aligns with my personal goals, circumstances, and unique learning rhythm. So, stay tuned — this is only the beginning! See you in my first step with DSA!Enhancing Student Resumes: An Innovative Approach Using Azure OpenAI ChatGPT-4o
Discover the transformative power of AI in education with our innovative approach to enhancing student resumes. Leveraging Azure OpenAI ChatGPT-4o, we’ve automated the initial review and feedback process, ensuring meticulous examination of each resume. This not only saves time for career mentors but also significantly improves the quality of student resumes. Witness an increase in employment rates and a positive impact on our course reputation. Join us as we redefine educational and career support services, demonstrating the potential of AI in shaping the future of learning and career development.AI-900: Microsoft Azure AI Fundamentals Study Guide
This comprehensive study guide provides a thorough overview of the topics covered in the Microsoft Azure AI Fundamentals (AI-900) exam, including Artificial Intelligence workloads, fundamental principles of machine learning, computer vision and natural language processing workloads. Learn about the exam's intended audience, how to earn the certification, and the skills measured as of April 2022. Discover the important considerations for responsible AI, the capabilities of Azure Machine Learning Studio and more. Get ready to demonstrate your knowledge of AI and ML concepts and related Microsoft Azure services with this helpful study guide.Using Azure OpenAI Services to automate programming test scoring
Automated Azure OpenAI solution uses open-source Jupyter notebooks and ChatGPT to score programming tests in GitHub Classroom, reducing the time and effort required by educators. The solution providing an objective reference to prevent errors and score programming tests more efficiently.Create a Simple Speech REST API with Azure AI Speech Services
Explore the world of Speech recognition and Speech Synthesis with Azure AI Services. In this tutorial, you will learn how to create your own simple Speech REST API using Azure AI Speech Synthesis and Azure OpenAI services or OpenAI API. Experience the power of speech synthesis using Azure and explore the infinite number of possibilities today unveiled to you by Azure AI Services to create powerful products.Mastering Azure OpenAI Services: A Comprehensive Learning Path for Aspiring AI Engineers
Are you a computer science student looking to delve into the world of Azure OpenAI Services? Look no further! In this Microsoft Learning Pathway, "Develop Generative AI solutions with Azure OpenAI Service," you'll embark on an exciting journey to harness the power of OpenAI's vast language models like ChatGPT, GPT, Codex, and Embeddings. These models are pivotal for creating innovative Natural Language Processing (NLP) solutions that can comprehend, converse, and generate content.My Journey to Create my first Custom Connector for a Web API from within Visual Studio
Did you see the video from Daniel and Marcel:Create a Custom Connector for your Web API from within Visual Studio? It's excellent, I recommend it. I thought it was perfect for me, as a veteran developer I created and own tons of APIs for all kinds of stuff. Making those APIs more accessible and easier to use seems like a great idea. Therefore immediately after watching the video, I opened my Visual Studio to give it a try. This post is about my journey to create my first Custom Connector, because it didn't work on the first try.Create fake data for a demo or presentation
In preparation for a demo in his talk, Leon Welicki needed "safe data", meaning data that looks legit but is fake. This post shares how I use Azure SQL Database templates, ChatGTP, and the .NET package Bogus to create data safe to be used, random, but that fits the demo theme and requirement.
