Coursera
2976 קורסים
Automation and Modern Testing Tools
Explore automation fundamentals, AI-powered testing, and cloud-based QA practices while building practical skills in performance, API, and security testing for modern software development.
Securing Generative AI
Discover essential security measures for deploying LLMs and RAG systems, covering prompt injection, data poisoning, and red teaming to safeguard AI implementations.
Inference techniques for local and cloud LLM deployment
Master LLM inference techniques for deploying Llama models locally and in the cloud, including quantization, prompt pipelines, and scalable real-world applications.
Foundations of LLMs and Llama development
Discover the fundamentals of Large Language Models and Llama development, from environment setup to building chatbots and mastering prompt engineering techniques.
AI Innovations with Open Tools in Healthcare Processes
Discover how to integrate open-source AI tools into healthcare workflows, from diagnostics to clinical decision support, while ensuring compliance and ethical deployment.
Advanced assistant customization with fine-tuning and context
Unlock advanced AI assistant development through Llama fine-tuning, RAG implementation, and specialized training for multilingual, customer service, and educational applications.
AI Foundations with Python: Build & Visualize
Discover Python fundamentals for AI through hands-on environment setup, NumPy data manipulation, and creating compelling visualizations with Matplotlib and Seaborn in this beginner-friendly journey.
GenAI Data and Analytics Academy
Master building production-ready AI systems from data pipelines to autonomous agents, covering prompt engineering, RAG systems, model development, and deployment at scale.
Artificial Intelligence with Python: Foundations to Projects
Master Python-based AI from setup to advanced projects, covering data visualization, machine learning models, NLP, and predictive analytics with portfolio-ready applications.
Langchain and Langgraph
Discover how to build 15 real-world LLM applications using LangChain, Python, and tools like OpenAI. Master memory management, prompt engineering, and create intelligent AI agents.
Applied NLP and Generative AI
Master practical NLP and Generative AI skills using Python, from text preprocessing to transformer fine-tuning and deploying real-world applications like chatbots.
AI Agents with LangGraph, Semantic Kernel, and AutoGen
Master building autonomous AI agents using LangGraph, Semantic Kernel, and AutoGen to create intelligent systems that process complex queries and integrate human feedback.