45 courses available in the DeepSeek directory
Build computer vision systems using deep learning for image classification, object detection, and segmentation.
Advanced Python programming for AI including async programming, multiprocessing, C extensions, and GPU computing.
Udemy course taking learners from beginner to advanced AI developer with NLP, chatbot, and automation projects — all without cloud services.
Covers DeepSeek's diverse capabilities from text prompts to code writing and task automation with hands-on exercises.
Hands-on course for setting up DeepSeek locally, building AI-powered chatbots and tools without cloud APIs.
Foundation course covering DeepSeek R1 fundamentals, interface navigation, and basic prompt engineering techniques.
Comprehensive course on DeepSeek R1 generative AI covering architecture, training, and practical applications.
Masterclass on building AI applications locally using DeepSeek R1 and Ollama without expensive cloud APIs.
Free online course covering DeepSeek AI and deep learning fundamentals with certificate of completion.
Covers DeepSeek V3 and R1-Zero fundamentals, what reasoning models are, and implementation methods.
Free course with certificate covering DeepSeek basics, use cases, and practical applications for absolute beginners.
Learn the fundamentals of generative AI including transformer architecture, training, fine-tuning, and deploying large language models in practice.
Learn to build production AI applications using LangChain including chains, agents, RAG pipelines, memory, and tool calling with real-world project examples.
Complete NLP course covering text processing, word embeddings, sequence models, and modern LLM-based approaches.
Design evaluation frameworks for LLMs including benchmark selection, human evaluation, and automated metrics.
Comprehensive course on AI ethics covering bias, fairness, transparency, privacy, and responsible AI development.
Train large models across multiple GPUs and nodes with data parallelism, model parallelism, and pipeline parallelism.
Learn Rust programming for building high-performance AI infrastructure including model serving and data processing.
Study MoE architectures used in DeepSeek V3 including expert routing, load balancing, and efficiency optimization.
In-depth study of transformer architecture including attention mechanisms, positional encoding, and architectural variations.
Production ML engineering covering model serving, monitoring, CI/CD for ML, and infrastructure management.
Train and deploy open-source AI models from scratch including data collection, preprocessing, training, and evaluation.
Build data pipelines for machine learning with Apache Spark, Airflow, and modern data lake architectures.
Learn CUDA programming for AI workloads including kernel optimization, memory management, and multi-GPU strategies.