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Master Generative AI Fundamentals with IBM ⬇️. This specialization covers the core concepts, models, and practical tools you need to work with generative AI:. Prompt Engineering.✨ Zero-shot, few-shot, persona, CoT, ToT, multimodal prompts.✅ Best practices for clarity,

Polars 101 Guided Project:

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Ready to level up your web development skills and make the internet a kinder place?. Check out this beginner-friendly project where you’ll build a browser extension that filters negative language using AI models like BERT and Llama 3. Create a FastAPI backend and design a

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💻 Python Quiz: Find the output!. result = max(min(3, 5, 1), abs(-4), bool(0)).print(result). What gets printed?.

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🚀 Kickstart your Generative AI career with IBM’s Professional Certificate!. - Python, ML & DL foundations.- GANs, transformers, prompting.- LLM fine-tuning (LoRA, Hugging Face).- Build & deploy AI apps (RAG bots, copilots). Start your certificate free:

Explore how machine learning is transforming healthcare. In this beginner-friendly learning path from IBM Skills Network, you will gain experience building real-world AI applications for health diagnostics:.🔹 Detect metastatic cancer in pathology scans using PyTorch.🔹 Train and

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In machine learning, understanding which features matter is only half the story. The H-statistic helps uncover how features work together to influence predictions, revealing hidden patterns traditional feature importance can miss. These projects cover training decision tree

🚀 Learn to build an Agentic RAG chatbot in just 30 minutes. This hands-on Cognitive Class project uses CrewAI to create an AI-powered customer service assistant. Get a free, practical intro to LLMs, AI agents, and RAG. Perfect for developers, tech learners, and anyone

🔍 Prompt Engineering 101. Want to get the most out of AI tools like ChatGPT or Claude? It all starts with asking better questions. This guided project from IBM Skills Network teaches you how to master prompt engineering, which is the key to unlocking the full power of Large

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🚀 Build your own AI-powered Image Search Engine!. In this hands-on project, you'll use OpenAI’s CLIP model to generate image embeddings, reduce dimensions, and build an interactive map that groups flower images by visual similarity. This is perfect for anyone curious about how

Try out this project:

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