Applied DeepSeek AI: 25 Practical Projects for AI Developers

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