Cognitive Class

Ever wondered what actually affects a fighter’s chances of winning? 🥊📊 In this guided project, you’ll work with real MMA data to uncover patterns using Python, Pandas, and statistics. You’ll learn how to: • Clean and prepare messy data • Analyze trends and test ideas using statistics • Understand and explain your results clearly • Turn data into insights you can actually use You’ll also explore questions like: 👉 Does reach really impact fight outcomes? 👉 What patterns show up across fighters and matches? By the end, you won’t just understand the concepts, you’ll have a data project you can add to your resume or portfolio. Start here 👉 cognitiveclass.ai/courses/discov… #DataScience #Python #Pandas #DataAnalysis #LearnPython #DataProjects #Statistics #IBMSkillsNetwork

What if AI could pick your outfit better than you? In this guided project, you will build a multi agent AI system that analyzes your wardrobe, understands your style, and generates outfit recommendations. You will use tools like AutoGen and DALL E to combine computer vision with AI agents into one system that actually works together. This is the kind of project that helps you stand out and gives you something solid to add to your resume. Explore the project here: cognitiveclass.ai/courses/autoge… #ArtificialIntelligence #AIProjects #MachineLearning #GenerativeAI #ComputerVision #AIAgents #IBMSkillsNetwork

Not all RAG systems perform the same. Sometimes the difference comes down to how you split your data. When building Retrieval Augmented Generation systems, documents are broken into smaller pieces called chunks so models can retrieve relevant information. The way you create these chunks can directly affect the quality of the results. This new guided project explores the difference between fixed length chunking and semantic chunking in a RAG workflow. In this project you will learn how to: • Build a simple RAG pipeline • Create embeddings and FAISS vector indexes • Compare different chunking strategies • See how preprocessing choices affect retrieval quality and model responses Projects like this are also a great way to build practical experience and add hands on AI projects to your resume or portfolio. If you are interested in LLMs, RAG systems, or building better AI retrieval pipelines, this is a great project to explore. 👉 cognitiveclass.ai/courses/evalua… #IBMSkillsNetwork #AI #MachineLearning #LLM #RAG #GenerativeAI #DataScience #Python #AIProjects

Ever wondered how data can reveal what really drives an NBA player’s performance? 🏀 In this guided project from IBM Skills Network, you’ll explore how machine learning can be used to analyze real NBA game data and understand a player’s impact on their team. You’ll learn how to: • Work with sports data using Python and pandas • Build regression models like Random Forest and Kernel Ridge Regression • Analyze which factors actually influence player performance • Visualize insights using matplotlib By the end, you’ll have hands-on experience building and interpreting regression models that are widely used in data science and sports analytics. If you’re interested in machine learning, sports analytics, or data science, this is a great beginner-friendly project to try. 👉 Check it out here: cognitiveclass.ai/courses/evalua… #MachineLearning #DataScience #SportsAnalytics #Python #AI #Learning #IBMSkillsNetwork

If you’re a developer looking for a job right now, having a strong portfolio matters more than ever. Companies aren’t just looking for people who know about AI anymore. They want to see that you’ve actually built something with it. It doesn’t have to be some huge research project. Even smaller things can stand out. - An AI tool that solves a problem. - An automation script. - An app that uses an LLM. Something that shows you can actually take an idea and turn it into something real. Building projects like these helps you learn faster and also gives you something to showcase when opportunities come up. And one more thing many people underestimate: apply early. Many roles receive hundreds of applications within the first few days. Building and sharing projects is one of the best ways to stand out right now. #AI #MachineLearning #Developers #LearnAI #TechCareers

Most developers know the feeling. You open an old project… and suddenly you’re spending more time figuring out the code than actually building anything new. AI is starting to make it easier to clean up code, improve projects, and move faster. In this guided project from IBM Skills Network, you’ll learn how to enhance your projects using AI and vibe coding. You’ll explore how to: • Improve messy code and make it easier to maintain • Create documentation and unit tests with AI • Prototype new features faster • Build a smoother development workflow with AI tools If you’re interested in using AI to improve the way you build and manage projects, this is a great hands-on project to explore. #AI #Coding #Developers #SoftwareEngineering #ArtificialIntelligence #IBMSkillsNetwork cognitiveclass.ai/courses/evolve…

Typing everything in a journal can get annoying sometimes. What if you could just talk instead? This guided project shows you how to build an AI voice journal using OpenAI’s Whisper model. You’ll record your voice and have your thoughts turned into text. Along the way, you’ll learn how speech-to-text works, process audio input, and build a simple app that turns voice recordings into journal notes. By the end, you’ll have a working voice-to-text application and a better understanding of how models like Whisper can be used in real projects. If you’re interested in building AI apps that work with voice and audio, this is a fun project to try. Explore the project here: cognitiveclass.ai/courses/build-… #AI #Python #MachineLearning #SpeechToText #ArtificialIntelligence #IBMSkillsNetwork

Choosing where to eat should not require 45 minutes of scrolling. This project takes that everyday problem and turns it into a full multi-agent AI system. Instead of just filtering by cuisine or price, you’ll use CrewAI, RAG, embeddings, and a vision LLM to: • Learn from user history • Analyze food photos • Pull in live trends • Rank restaurants based on real signals You are not just building a chatbot. You 're designing a system where multiple agents handle different tasks and work together to deliver one clear recommendation. If you want hands-on experience with multi-agent systems, vector databases, and multimodal AI in one practical build, this is a strong intermediate project to try. Explore the project at: cognitiveclass.ai/courses/multi-… #IBMSkillsNetwork #AIAgents #MultiAgentSystems #RAG #LLM #Tech #AIProjects #MachineLearning

AI gets interesting when it stops just giving answers and starts seeing how things are linked. Most AI tools can find information. But they do not truly understand how everything connects. That is what makes this new guided project different. You build an AI agent that works with a social network graph, identifies which nodes matter most, ranks them, and turns that into clear insights using an LLM. It is hands on, practical, and a solid way to understand how modern AI systems work with connected data. If you are learning Python and want to go beyond basic RAG, this is worth checking out. cognitiveclass.ai/courses/agenti…

Most people try to learn AI solely by watching videos. The fastest way to learn AI is by building something real. This beginner friendly guided project walks learners through building an AI powered baseball data assistant using Python, structured datasets, and AI agents, all powered by real World Series data. Instead of just learning concepts, learners practice working with real data, asking natural language questions, and generating meaningful insights. Projects like this are exactly what employers want to see on a resume because they show hands on experience, problem solving, and practical skills. This project is a great starting point for students, early career professionals, and anyone looking to move beyond theory and build portfolio ready work they can confidently talk about in interviews. Learn AI the hands on way 👇 👉 cognitiveclass.ai/courses/build-… #LangGraph #LLM #GenerativeAI #AIProjects #LearnAI #AIAgents #GenerativeAI #Python #DataScience

I just published Test-Time Compute: Make AI Smarter medium.com/p/test-time-co…

Step into the role of both attacker and defender in this capstone and prove you can secure systems from every angle. You will understand the strategies of hackers and build a full incident response package, and complete a portfolio-ready final report. Employers want proof of real skills and this is where you show them. Ready to show you can think like a hacker and respond like a defender? 🔗 Enroll in the IBM Ethical Hacking Capstone at: ibm.biz/ethHack #Cybersecurity #EthicalHacking #IncidentResponse #SecurityTraining #IBM #Coursera

Ever wondered how to learn AI the right way? This creator tried 50 AI courses and ranked the top programs and our IBM AI Engineering Certificate made the list. Always great to see learners sharing real experiences and outcomes. Hear what they had to say in the video: youtu.be/cB95gevRLrU?t=… Or explore our program yourself: ibm.biz/Bdbm8H #AIEngineering #MachineLearning #DeepLearning #GenerativeAI #LLM #Python #PyTorch #TensorFlow #Keras #LangChain #RAG #DataScience #Coursera #IBMSkillsNetwork

From heart-stopping plays to a marathon 18-inning showdown, the 2025 World Series will be remembered as one for the books. Now we’re taking the numbers behind the headlines and building something smarter. In this guided project, you’ll learn how to build an AI-Powered Baseball Data Assistant using LangGraph and Pandas Agents. ⚾ Route natural-language questions (e.g., “Which pitcher had the lowest ERA in the 2025 playoffs?”) to the correct dataset. ⚾ Use a ReAct-style Pandas Agent to query the data and deliver clear, human-readable insights. ⚾ Gain hands-on experience setting up agentic workflows, routing logic, structured data analysis, and real-time insight generation. Whether you’re new to data science or curious about building intelligent assistants, this project equips you with skills you can reuse for sports analytics, finance dashboards, or any data-driven assistant. Explore the project at: ibm.biz/BdbvLS #AI #SportsAnalytics #DataScience #LangGraph #LangChain #BaseballStats #WorldSeries2025 #Pandas #AgenticAI

Not trick or treating this Halloween? Do something cooler. In this beginner friendly project, you will build an interactive Halloween quiz game powered by GPT-5 and Gradio. You will learn how to: 🎃 Generate quiz questions in real time using GPT-5 🎃 Add lifelines like 50-50 and Flip Question 🎃 Track player scores and handle game logic 🎃 Build a full web app interface without complex frontend code 🎃 Run your game locally or deploy it to the cloud By the end, you will have a fun, fully functional AI game that blends Python, creativity, and real world LLM interaction skills. 🔗 Try the project here → lnkd.in/e2EPPPW7 #AI #Python #GPT5 #Gradio #MachineLearning #AIDevelopment #PortfolioProject #Hackathons #CareerDevelopment #Halloween #BuildWithAI