Mastering DeepSeek – Understanding, Comparing, and Building AI Applications

By the end of the course, you will also build a functional AI-powered application using DeepSeek’s distilled models.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Level
Virtual Class Id: 52574
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$199.00 $332.00
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About the Course:

DeepSeek AI is a cutting-edge open-source Large Language Model (LLM) designed for various AI applications, including text generation, code completion, and business automation. As AI technology evolves, understanding how to leverage powerful open-source models like DeepSeek can provide cost-effective and efficient solutions compared to proprietary models like OpenAI's ChatGPT.

This course is designed to provide a comprehensive, hands-on experience with DeepSeek AI. You will learn how DeepSeek works, how it differs from ChatGPT, and how to use it effectively for real-world applications. By the end of the course, you will also build a functional AI-powered application using DeepSeek’s distilled models.

Course Objective:

  • Understand what DeepSeek AI is and how it fits into the open-source AI ecosystem
  • Learn how DeepSeek compares with OpenAI’s ChatGPT in terms of architecture, capabilities, and use cases
  • Gain hands-on experience using DeepSeek for text generation, coding assistance, and business automation
  • Learn how to fine-tune and customize DeepSeek models for domain-specific applications
  • Build a real-world AI-powered application using DeepSeek’s distilled models
  • Explore deployment and scaling strategies for AI applications
  • Understand best practices for implementing DeepSeek in different use cases
Who is the Target Audience?

  • AI Enthusiasts – Individuals eager to explore AI and LLMs for the first time
  • Developers & Programmers – Software engineers and developers interested in integrating AI into their applications
  • Data Scientists & Analysts – Professionals looking to leverage AI for data-driven solutions
  • Business Professionals – Entrepreneurs and decision-makers exploring AI-powered automation
  • Content Creators & Marketers – Individuals interested in using AI for content generation and marketing automation
  • Students & Researchers – Individuals who want to dive into the world of AI with practical knowledge
Basic Knowledge:

  • General AI/ML Awareness – Understanding of AI concepts (not mandatory, but helpful)
  • Basic Computer Skills – Familiarity with using web-based tools and APIs
  • Basic Python (Optional but Useful) – While no advanced coding is required, familiarity with Python can help in hands-on sections
  • No Prior LLM Experience Required – The course will cover everything from scratch

Curriculum
Total Duration: 3 Hours
Introduction to DeepSeek AI

  • What is DeepSeek?   
    • Overview of DeepSeek models
    • Understanding the open-source AI landscape
    • Use cases and applications
  • DeepSeek vs OpenAI’s ChatGPT   
    • Model architecture and training differences
    • Strengths and weaknesses
    • Cost-effectiveness and deployment options
  • Setting Up DeepSeek   
    • Accessing DeepSeek models
    • API keys and integrations
    • Local vs cloud-based deployment

Hands-on with DeepSeek

  • Exploring DeepSeek’s Capabilities   
    • Text generation and completion
    • Code assistance and debugging
    • Data analysis use cases
  • Fine-tuning and Customization   
    • Prompt engineering with DeepSeek
    • Adapting models for domain-specific applications
    • Comparison of responses with ChatGPT
  • DeepSeek in Real-World Applications   
    • Using DeepSeek for content generation
    • AI-powered chatbots
    • Automation in business workflows

Building an Application Using DeepSeek Distilled Models

  • Introduction to DeepSeek Distilled Models   
    • What are distilled models?
    • Performance vs full-scale models
    • Choosing the right model for your needs
  • Setting Up the Development Environment   
    • Required tools and libraries (Python, API access, etc.)
    • Installing and integrating DeepSeek models
  • Building a Simple AI-Powered Application   
    • Defining the project scope (e.g., AI chatbot, text summarization tool)
    • Writing the backend logic with DeepSeek API
    • Implementing a simple front-end interface
  • Deploying and Scaling the Application   
    • Hosting options (Cloud, Server, or Local)
    • Performance optimization
    • Future enhancements and adding new features