AI Development with DeepSeek for Developers

The AI Development with DeepSeek for Developers course is a hands-on guide to building real-world AI applications using DeepSeek's open-source models—no prior experience required. Designed for developers, students, ML engineers, and tech enthusiasts, this course combines conceptual overviews with practical projects, delivered through Jupyter notebooks and popular Python libraries like LangChain, Streamlit, Promptify, DSPy, and DeepEval. Start by exploring DeepSeek’s ecosystem, accessing V3, R1, and Coder models via web and API, and building your first Q&A app. Next, apply DeepSeek to real-world tasks—summarizing documents, generating code, building interactive Q&A systems, and advanced reasoning. Then, create task-specific AI agents, compare DeepSeek’s performance and pricing with leading LLMs, and interpret benchmark results. Finally, explore DeepSeek’s unique features—GRPO, Mixture-of-Experts architecture, quantized models, and fine-tuning options for custom use cases. By the end, you will be able to: - Build Q&A, chatbot, and code generation apps using DeepSeek and Python tools. - Apply DeepSeek for summarization, coding, and advanced reasoning in real projects. - Create and compare AI agents, analyze model performance, and interpret benchmarks. - Customize and evaluate DeepSeek models for your own use cases, leveraging open-source features. Whether you’re starting your AI journey or expanding your toolkit, this course will help you confidently build and deploy practical AI solutions with DeepSeek. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of Deepseek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only

• Build Q&A, chatbot, and code generation apps using DeepSeek models and practical Python tools
• Apply DeepSeek for document summarization, long-context analysis, and mathematical reasoning in real-world projects
• Create task-specific AI agents, compare DeepSeek’s performance and pricing with OpenAI, Claude, and Gemini, and interpret benchmark results
• Customize, fine-tune, and evaluate DeepSeek models using advanced features like GRPO, MoE, quantized models, and DeepEval metrics

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities