Courses — DeepSeek Directory
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    45 courses available in the DeepSeek directory

    AI/ML

    Computer Vision with Deep Learning

    Build computer vision systems using deep learning for image classification, object detection, and segmentation.

    A
    AISchool
    55
    Programming

    Advanced Python for AI Development

    Advanced Python programming for AI including async programming, multiprocessing, C extensions, and GPU computing.

    D
    DevAcademy
    485
    Projects

    DeepSeek R1 AI: 25 Real World Projects

    Udemy course taking learners from beginner to advanced AI developer with NLP, chatbot, and automation projects — all without cloud services.

    Automation

    DeepSeek Mastery: Automate Tasks, Write Code and More

    Covers DeepSeek's diverse capabilities from text prompts to code writing and task automation with hands-on exercises.

    AI Agents

    DeepSeek Complete Course: AI Agents & Apps

    Hands-on course for setting up DeepSeek locally, building AI-powered chatbots and tools without cloud APIs.

    Fundamentals

    DeepSeek R1 AI - Learn the Basics

    Foundation course covering DeepSeek R1 fundamentals, interface navigation, and basic prompt engineering techniques.

    Generative AI

    DeepSeek R1 AI: Generative AI Complete Course

    Comprehensive course on DeepSeek R1 generative AI covering architecture, training, and practical applications.

    Local AI

    DeepSeek R1 & Ollama: Build Local AI Applications

    Masterclass on building AI applications locally using DeepSeek R1 and Ollama without expensive cloud APIs.

    Fundamentals

    Free DeepSeek Course - Simplilearn

    Free online course covering DeepSeek AI and deep learning fundamentals with certificate of completion.

    Reasoning

    Introduction to DeepSeek R1 and Reasoning Models

    Covers DeepSeek V3 and R1-Zero fundamentals, what reasoning models are, and implementation methods.

    Fundamentals

    DeepSeek Foundations for Beginners

    Free course with certificate covering DeepSeek basics, use cases, and practical applications for absolute beginners.

    Generative AI

    DeepLearning.AI: Generative AI with LLMs

    Learn the fundamentals of generative AI including transformer architecture, training, fine-tuning, and deploying large language models in practice.

    D
    DeepLearning.AI & AWS
    LLM Engineering

    Building AI Applications with LangChain

    Learn to build production AI applications using LangChain including chains, agents, RAG pipelines, memory, and tool calling with real-world project examples.

    H
    Harrison Chase & Andrew Ng
    AI/ML

    Natural Language Processing with Python

    Complete NLP course covering text processing, word embeddings, sequence models, and modern LLM-based approaches.

    L
    LearnTech
    371
    AI/ML

    Evaluation and Benchmarking LLMs

    Design evaluation frameworks for LLMs including benchmark selection, human evaluation, and automated metrics.

    A
    AISchool
    687
    Ethics

    AI Ethics and Safety

    Comprehensive course on AI ethics covering bias, fairness, transparency, privacy, and responsible AI development.

    T
    TechEd
    1,470
    Engineering

    Distributed Training at Scale

    Train large models across multiple GPUs and nodes with data parallelism, model parallelism, and pipeline parallelism.

    T
    TechEd
    855
    Programming

    Rust for AI Infrastructure

    Learn Rust programming for building high-performance AI infrastructure including model serving and data processing.

    L
    LearnTech
    766
    AI/ML

    Mixture of Experts Architecture

    Study MoE architectures used in DeepSeek V3 including expert routing, load balancing, and efficiency optimization.

    D
    DevAcademy
    930
    AI/ML

    Transformer Architecture Deep Dive

    In-depth study of transformer architecture including attention mechanisms, positional encoding, and architectural variations.

    C
    CourseHub
    802
    Engineering

    MLOps and Model Deployment

    Production ML engineering covering model serving, monitoring, CI/CD for ML, and infrastructure management.

    D
    DevAcademy
    1,278
    AI/ML

    Open Source AI Model Training

    Train and deploy open-source AI models from scratch including data collection, preprocessing, training, and evaluation.

    A
    AISchool
    173
    Engineering

    Data Engineering for ML Pipelines

    Build data pipelines for machine learning with Apache Spark, Airflow, and modern data lake architectures.

    A
    AISchool
    480
    Engineering

    GPU Programming with CUDA

    Learn CUDA programming for AI workloads including kernel optimization, memory management, and multi-GPU strategies.

    C
    CourseHub
    890

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