DeepLearning AI provides a range of short courses aimed at enhancing your skills in generative AI and other AI technologies. These courses are carefully designed to equip learners with the necessary knowledge, tools, and techniques to excel in the field of AI. Here is an overview of some of the most relevant short courses available:
– Red Teaming LLM Applications: This course focuses on enhancing the security of LLM applications through red teaming, utilizing cybersecurity methods in the AI domain.
– JavaScript RAG Web Apps with LlamaIndex: Learn to build interactive web applications with RAG capabilities using JavaScript.
– Efficiently Serving LLMs: Gain insights into deploying LLM applications efficiently in a production environment.
– Knowledge Graphs for RAG: Hands-on experience in building and utilizing knowledge graph systems to enhance retrieval augmented generation applications.
– Open Source Models with Hugging Face: Demystifying building AI applications using open-source models from Hugging Face.
– Prompt Engineering with Llama 2: Learn best practices for prompt engineering using Meta’s Llama 2 models.
– Building Applications with Vector Databases: Develop applications powered by vector databases using Pinecone.
– LLMOps: Introduces best practices for designing and automating the tuning and deployment of LLMs.
– Automated Testing for LLMOps: Focuses on developing automated testing frameworks for LLM applications.
– Build LLM Apps with LangChain.js: Insights into building context-aware applications using LangChain.js.
– Reinforcement Learning from Human Feedback: Learn to tune and evaluate LLMs using RLHF.
– Building and Evaluating Advanced RAG Applications: Enhance retrieval techniques and evaluation metrics for RAG applications.
– Quality and Safety for LLM Applications: Prioritize security and integrity of LLM applications.
– Vector Databases: from Embeddings to Applications: Unlock the potential of vector databases for AI applications.
– Functions, Tools, and Agents with LangChain: Explore the latest advancements in LLM APIs and LCEL for faster chain and agent composition.
Each course caters to a specific skill level, ensuring learners can find courses that align with their abilities and help them progress in their AI journey. Whether you are interested in building safer LLM applications, creating AI-powered web apps, or exploring vector databases, DeepLearning.AI’s short courses offer a comprehensive learning path tailored to your needs. Take advantage of these courses to quickly and efficiently advance your AI skills.
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