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Learn listings from deeplearning.ai on TechiSeek. 129 public listings.

• Design, Develop, and Deploy Multi-Agent Systems with CrewAI (deeplearning.ai)
  Build practical multi-agent systems that collaborate, use tools and memory, and scale reliably to production
• Semantic Caching for AI Agents (deeplearning.ai)
  Speed up and reduce the costs of your AI agents by implementing semantic caching that reuses responses based on meaning rather than exact t…
• Natural Language Processing Specialization (deeplearning.ai)
  Design NLP apps that perform question-answering, sentiment analysis, language translation, and summarization.
• AI for Medicine (deeplearning.ai)
  Estimate treatment effects from randomized controlled trials data. Interpret diagnostic & prognostic models. Apply NLP to extract info from…
• TensorFlow Developer Professional Certificate (deeplearning.ai)
  Equip yourself with the knowledge necessary to use the TensorFlow API along with best practices and hands-on experience in one of the most…
• Building Coding Agents with Tool Execution (deeplearning.ai)
  Build AI agents that write and execute code to accomplish tasks, running safely in sandboxed cloud environments that protect your systems f…
• Multi-vector Image Retrieval (deeplearning.ai)
  Build advanced retrieval systems that represent images with multiple vectors, enabling fine-grained matching between text queries and visua…
• Nvidia’s NeMo Agent Toolkit: Making Agents Reliable (deeplearning.ai)
  Turn proof-of-concept agent demos into production-ready systems using observability, evaluation, and deployment tools from Nvidia's NeMo Ag…
• Build with Andrew (deeplearning.ai)
  If you've never written code before, this course is for you. In less than 30 minutes, you'll learn to describe an idea in words and let AI…
• Document AI: From OCR to Agentic Doc Extraction (deeplearning.ai)
  Build agentic systems to parse documents and extract information grounded in visual components like charts, tables, and forms.
• Gemini CLI: Code & Create with an Open-Source Agent (deeplearning.ai)
  Build real-world applications from the command line using Gemini CLI, Google's open-source agentic coding assistant that coordinates local…
• Agent Skills with Anthropic (deeplearning.ai)
  Equip agents with expert on-demand knowledge to enable reliable coding, research, and data analysis workflows
• A2A: The Agent2Agent Protocol (deeplearning.ai)
  Connect agents across different frameworks and teams using A2A, the open protocol standardizing agent-to-agent communication.
• Build and Train an LLM with JAX (deeplearning.ai)
  Build and train a 20M-parameter LLM from scratch using JAX, the open-source library behind Google's Gemini, and learn the core techniques p…
• Agent Memory: Building Memory-Aware Agents (deeplearning.ai)
  Build a complete agent memory system that lets an LLM store, retrieve, and refine knowledge across sessions—turning a stateless agent into…
• Efficient Inference with SGLang: Text and Image Generation (deeplearning.ai)
  Learn how LLM inference works under the hood and implement caching optimizations, including KV cache and RadixAttention, to make text and i…
• Spec-Driven Development with Coding Agents (deeplearning.ai)
  Move beyond vibe coding: write clear specs that give your coding agent the context it needs to build intentional, maintainable software.
• Building Multimodal Data Pipelines (deeplearning.ai)
  Learn to build AI-powered pipelines that turn images, audio, and video into LLM-ready text, and power multimodal applications on top.
• Build Interactive Agents with Generative UI (deeplearning.ai)
  Build fullstack agent apps that go beyond plain text, generating custom UIs like charts, forms, and whiteboards on demand.
• AI Prompting for Everyone (deeplearning.ai)
  Become an AI power user in this new course taught by Andrew Ng. From finding information to building apps, you'll develop the prompting ski…
• Transformers in Practice (deeplearning.ai)
  Go beyond just using LLMs to actually understanding them. In this course taught by Sharon Zhou, you'll build the intuition to reason about…
• AI Agents for Image and Video Generation (deeplearning.ai)
  Build AI agents that generate images and videos, evaluate output automatically, and iterate until results meet your quality standards
• Fast & Efficient LLM Inference with vLLM (deeplearning.ai)
  Optimize, deploy, and benchmark an open-source LLM with vLLM.
• Voice for AI Agents and Applications (deeplearning.ai)
  Add voice to your AI agents and applications using three integration patterns: embedded voice, voice layered on existing agents, and voice…
• Fast LLM Inference with Cerebras (deeplearning.ai)
  This course, built in partnership with Cerebras and taught by Zhenwei Gao, Sebastian Duerr, and Sarah Chieng of Cerebras, shows you how to…
• AI Code Review (deeplearning.ai)
  AI can write more code than any team can review by hand. In this hands-on course with Qodo, you'll learn how to make AI code review effecti…
• AI Coding Workflows: From Cloud to Local (deeplearning.ai)
  Learn to take control of your AI coding workflow. Starting from a Claude Code baseline, you'll structure work for smaller models, switch co…
• Building Adaptive AI Agents (deeplearning.ai)
  AI agents often repeat the same mistakes because they carry nothing forward between sessions. This course teaches three ways to fix that. L…
• Building AI Assistants with On-Device Memory (deeplearning.ai)
  AI applications that depend on the cloud to remember things need a connection and send data to a remote server. This course teaches an on-d…