Mastering DeepSeek – Understanding, Comparing, and Building AI Applications
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Training TypeLive Training
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CategoryArtificial Intelligence
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Duration3 Hours
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Rating5/5
Course Introduction
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
Available Batches
| 17 Mar 2025 | Mon ( 1 Day ) | 12:00 PM - 03:00 PM (Eastern Time) |
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Overview of DeepSeek models
Understanding the open-source AI landscape
Use cases and applications
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Model architecture and training differences
Strengths and weaknesses
Cost-effectiveness and deployment options
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Accessing DeepSeek models
API keys and integrations
Local vs cloud-based deployment
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Text generation and completion
Code assistance and debugging
Data analysis use cases
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Prompt engineering with DeepSeek
Adapting models for domain-specific applications
Comparison of responses with ChatGPT
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Using DeepSeek for content generation
AI-powered chatbots
Automation in business workflows
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What are distilled models?
Performance vs full-scale models
Choosing the right model for your needs
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Required tools and libraries (Python, API access, etc.)
Installing and integrating DeepSeek models
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Defining the project scope (e.g., AI chatbot, text summarization tool)
Writing the backend logic with DeepSeek API
Implementing a simple front-end interface
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Hosting options (Cloud, Server, or Local)
Performance optimization
Future enhancements and adding new features