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