Course Overview
- Course Title: Applied DeepSeek AI: 25 Practical Projects for AI Developers
- Instructor: Vivian Aranha
- Target Audience:
- Python developers
- AI & NLP beginners
- Data scientists
- Tech professionals
- Entrepreneurs & startup founders
- Students & researchers
- Prerequisites:
- Familiarity with command-line tools (basic terminal usage)
- A computer with at least 8GB RAM for running DeepSeek AI models
- An installed Python environment (setup covered in the course)
- Some experience with machine learning or NLP (optional but helpful)
- Interest in AI-driven automation and chatbots
- No cloud services needed—everything runs locally
- Enthusiasm to build real-world AI applications
- A willingness to experiment and explore AI tools
- Access to a code editor (VS Code, PyCharm, or Jupyter Notebook)
Curriculum Highlights
- Key Topics Covered:
- Installation and setup of DeepSeek AI
- AI-powered text processing applications
- Intelligent chatbots and virtual assistants
- AI-driven automation tasks
- AI-driven coding tools
- AI model optimization
- AI applications for business use cases
- Real-world AI projects without cloud dependencies
- Key Skills Learned:
- Building AI-powered text processing tools
- Implementing NLP techniques for real-world applications
- Developing intelligent chatbots
- Automating tasks using DeepSeek AI models
- Generating AI-assisted content and reports
- Creating AI-powered code assistants and debuggers
- Optimizing DeepSeek AI models for performance
- Developing AI-driven recommendation systems
- Building practical AI applications without cloud dependencies
Course Format
- Duration:
- 6.5 hours on-demand video
- Format:
- Self-paced online course
- Resources:
- 27 downloadable resources
- Access on mobile and TV
- Certificate of completion