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

• Retrieval Optimization: Tokenization to Vector Quantization (deeplearning.ai)
  Build faster and more relevant vector search for your LLM applications
• Practical Multi AI Agents and Advanced Use Cases with crewAI (deeplearning.ai)
  Build agents that collaborate to solve complex business tasks.
• Safe and reliable AI via guardrails (deeplearning.ai)
  Move your LLM-powered applications beyond proof-of-concept and into production with the added control of guardrails.
• LLMs as Operating Systems: Agent Memory (deeplearning.ai)
  Build systems with MemGPT agents that can autonomously manage their memory.
• Building an AI-Powered Game (deeplearning.ai)
  Learn to build with LLMs by creating a fun interactive game from scratch.
• Collaborative Writing and Coding with OpenAI Canvas (deeplearning.ai)
  Learn to use OpenAI Canvas to write, code, and create more effectively in collaboration with AI.
• Reasoning with o1 (deeplearning.ai)
  Learn how to use and prompt OpenAI's o1 model for complex reasoning tasks.
• Build Long-Context AI Apps with Jamba (deeplearning.ai)
  Build LLM apps that can process very long documents using the Jamba model
• Building toward Computer Use with Anthropic (deeplearning.ai)
  Learn how an AI Assistant is built to use and accomplish tasks on computers.
• How Transformer LLMs Work (deeplearning.ai)
  Understand the transformer architecture that powers LLMs to use them more effectively.
• Attention in Transformers: Concepts and Code in PyTorch (deeplearning.ai)
  Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.
• Evaluating AI Agents (deeplearning.ai)
  Learn how to systematically evaluate, improve, and iterate on AI agents using structured assessments.
• Build Apps with Windsurf’s AI Coding Agents (deeplearning.ai)
  Learn to build, debug, and deploy applications with an Agentic AI-powered integrated development environment.
• Event-Driven Agentic Document Workflows (deeplearning.ai)
  Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.
• Long-Term Agentic Memory With LangGraph (deeplearning.ai)
  Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.
• Generative AI for Everyoneㅤ (deeplearning.ai)
  Learn how to use generative AI's capabilities & limitations. Get an overview of real-world examples, and impact on business & society for e…
• Vibe Coding 101 with Replit (deeplearning.ai)
  Design, build, and deploy apps with an AI coding agent in an integrated web development environment.
• Getting Structured LLM Output (deeplearning.ai)
  Learn how to generate structured outputs to power production-ready LLM software applications.
• Building Code Agents with Hugging Face smolagents (deeplearning.ai)
  Build agents that write and execute code to perform complex tasks, using Hugging Face’s smolagents.
• Building AI Voice Agents for Production (deeplearning.ai)
  Build responsive, scalable, and human-like AI voice applications.
• Building AI Browser Agents (deeplearning.ai)
  Build agents that navigate and interact with websites, and learn how to make them more reliable.
• MCP: Build Rich-Context AI Apps with Anthropic (deeplearning.ai)
  Build AI apps that access tools, data, and prompts using the Model Context Protocol.
• Reinforcement Fine-Tuning LLMs With GRPO (deeplearning.ai)
  Improve LLM reasoning with reinforcement fine-tuning and reward functions.
• DSPy: Build and Optimize Agentic Apps (deeplearning.ai)
  Build, debug, and optimize AI agents using DSPy and MLflow.
• Deep Learning Specialization (deeplearning.ai)
  Build neural networks (CNNs, RNNs, LSTMs, Transformers) and apply them to speech recognition, NLP, and more using Python and TensorFlow.
• Machine Learning Specialization (deeplearning.ai)
  Learn foundational AI concepts through an intuitive visual approach, then learn the code needed to implement the algorithms and math for ML.
• Orchestrating Workflows for GenAI Applications (deeplearning.ai)
  Turn your GenAI prototype into an automated pipeline using Apache Airflow
• Building with Llama 4 (deeplearning.ai)
  Build multimodal and long-context GenAI applications using Llama 4 open models, API, and Llama tools.
• AI for Everyone (deeplearning.ai)
  Learn about AI technologies and how to use them. Examine AI's societal impact, and learn to navigate this technological shift.
• Post-training of LLMs (deeplearning.ai)
  Adapt LLMs for specific tasks and behaviors using post-training techniques like SFT, DPO, and online RL.
• AI for Good (deeplearning.ai)
  Learn a framework for AI project development. Build models for air quality, wind energy, biodiversity & disaster management. Explore case s…
• Pydantic for LLM Workflows (deeplearning.ai)
  Build reliable LLM applications with structured outputs and validated data using Pydantic.
• Claude Code: A Highly Agentic Coding Assistant (deeplearning.ai)
  Explore, build, and refine codebases with Claude Code.
• Knowledge Graphs for AI Agent API Discovery (deeplearning.ai)
  Construct a knowledge graph and use it to enable your AI agent to find and call the right APIs in the right order.
• Build AI Apps with MCP Server: Working with Box Files (deeplearning.ai)
  Build an LLM app that uses tools from the Box MCP server to discover Box files and extract text from them. Transform it into a multi-agent…
• Agentic Knowledge Graph Construction (deeplearning.ai)
  Build a multi-agent system that plans, designs, and constructs a knowledge graph.
• Building Live Voice Agents with Google’s ADK (deeplearning.ai)
  Build real-time voice AI agents, from simple to multi-agent podcast systems, using Google’s Agent Development Kit.
• Building and Evaluating Data Agents (deeplearning.ai)
  Build, evaluate, and improve a multi-agent system that plans its steps, connects to data sources, and provides insights.
• Agentic AI (deeplearning.ai)
  In this course taught by Andrew Ng, you'll build agentic AI systems that take action through iterative, multi-step workflows.
• Data Analytics (deeplearning.ai)
  Build a solid data analytics foundation using industry standard and AI tools to extract insights, make decisions, and solve real-world busi…
• Mathematics for Machine Learning and Data Science (deeplearning.ai)
  Explore the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
• Fast Prototyping of GenAI Apps with Streamlit (deeplearning.ai)
  Prototype and deploy GenAI apps using an MVP workflow, prompt engineering, and RAG.
• Retrieval Augmented Generation (RAG) (deeplearning.ai)
  Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment an…
• Governing AI Agents (deeplearning.ai)
  Integrate data governance into your agent's workflow to ensure it handles data safely, securely, and accurately.
• Generative AI with Large Language Models (deeplearning.ai)
  Understand the generative AI lifecycle. Describe transformer architecture powering LLMs. Apply training/tuning/inference methods. Hear from…
• PyTorch for Deep Learning (deeplearning.ai)
  Learn the core principles of building, optimizing, and deploying deep learning models using PyTorch.
• Jupyter AI: AI Coding in Notebooks (deeplearning.ai)
  Learn to code with AI in Jupyter notebooks. Use Jupyter AI to generate code, get explanations, and analyze data.
• Fine-tuning & RL for LLMs: Intro to Post-training (deeplearning.ai)
  Learn how to apply fine-tuning and reinforcement learning techniques to shape model behavior, improve reasoning, and make LLMs safer and mo…
• Machine Learning in Production (deeplearning.ai)
  Design an ML production system: scoping, data, modeling, deployment. Prototype development, deployment & continuous improvement.
• Generative AI for Software Development (deeplearning.ai)
  Learn practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code.