Udemy – Applied DeepSeek AI: 25 Practical Projects for AI Developers 2025-2

Udemy – Applied DeepSeek AI: 25 Practical Projects for AI Developers 2025-2

Udemy – Applied DeepSeek AI: 25 Practical Projects for AI Developers 2025-2
Udemy – Applied DeepSeek AI: 25 Practical Projects for AI Developers 2025-2

Applied DeepSeek AI: 25 Practical Projects for AI Developers. This course is designed for AI developers to progress from beginner to advanced. The main focus of this course is on natural language processing (NLP), building chatbots, automation, and AI applications – all without the need to use cloud services!

DeepSeek AI is a powerful, open-source AI model that enables developers to work locally with advanced AI automation, text generation, and natural language processing tasks. In this course, you will implement 25 real-world projects and gain hands-on experience in the application of AI to business, productivity, automation, and software development.

What you will learn in the course

  • Install and configure DeepSeek AI on your local machine.
  • Building AI-based text processing applications, including summarization, grammar correction, and sentiment analysis.
  • Developing chatbots and intelligent virtual assistants for customer support, e-commerce, and personal productivity.
  • Automate everyday tasks using AI, such as writing emails, generating resumes, and summarizing documents.
  • Implement AI-based coding tools, including code auto-completion, debugging, and SQL generation.
  • Optimizing AI models for local performance and efficiency.
  • Developing AI applications for business use cases, such as financial analysis, job screening, and customer feedback processing.
  • Gain practical experience in NLP and AI-based automation using Python.
  • Work on real AI projects without the need for cloud-based APIs.

This course is suitable for people who:

  • Python developers who want to integrate artificial intelligence into their applications.
  • Beginners in AI and NLP who are looking to gain practical experience.
  • Data scientists investigating artificial intelligence models for text processing.
  • Entrepreneurs and startup founders interested in AI-based applications.
  • Tech professionals who want to build AI-based automation tools.
  • Students and researchers working on AI projects without cloud dependency.
  • Self-taught individuals and AI enthusiasts who are eager to discover new AI applications.

Course Description Applied DeepSeek AI: 25 Practical Projects for AI Developers

  • Publisher:  Udemy
  • Instructor:  Vivian Aranha
  • Training level: Beginner to advanced
  • Training duration: 6 hours and 38 minutes
  • Number of lessons: 28

Course headings

 Applied DeepSeek AI: 25 Practical Projects for AI Developers

Prerequisites for the Applied DeepSeek AI: 25 Practical Projects for AI Developers course

  • Familiarity with command-line tools (basic terminal usage).
  • A computer with at least 8GB RAM for running DeepSeek AI models.
  • An installed Python environment (we’ll cover setup).
  • 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).

Course images

Applied DeepSeek AI: 25 Practical Projects for AI Developers

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 568 MB

File(s) password: www.downloadly.ir

File size

2.5 GB