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Applied DeepSeek AI: 25 Practical Projects for AI Developers
V
Vivian Aranha
4/25/2025
·
2 min read
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
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