MindMap Gallery Deep Seek AI Thinking Online Course Outline
This is a mind map about the Deep Seek AI Thinking Network course syllabus, the main contents include: course summary and prospects, Part 3: The application of AI thinking in practice, Part 2: DeepSeek usage guide, Part 1: AI Basic knowledge, course introduction.
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In order to help everyone use DeepSeek more efficiently, a collection of DeepSeek guide mind map was specially compiled! This mind map summarizes the main contents: Yitu related links, DS profile analysis, comparison of DeepSeek and ChatGPT technology routes, DeepSeek and Qwen model deployment guide, how to make more money with DeepSeek, how to play DeepSeek, DeepSeek scientific research Application, how to import text from DeepSeek into MindMaster, the official recommendation of DeepSeek Wait, allowing you to quickly grasp the essence of AI interaction. Whether it is content creation, plan planning, code generation, or learning improvement, DeepSeek can help you achieve twice the result with half the effort!
This is a mind map about DeepSeek's 30 feeding-level instructions. The main contents include: professional field enhancement instructions, interaction enhancement instructions, content production instructions, decision support instructions, information processing instructions, and basic instructions.
This is a mind map about a commercial solution for task speech recognition. The main content includes: text file content format:, providing text files according to the same file name as the voice file.
Deep Seek AI Thinking Online Course Outline
Course Introduction
Course Objectives
Let students understand the basics of AI
Master the usage of DeepSeek
Learn how to apply AI to practical problems
Course Features
Combined with the latest AI technology trends
Practical case analysis
Interactive Q&A session
Suitable for the crowd
Beginners interested in AI
Professionals who are interested in further studies in the field of AI
Business decision makers and managers
Part 1: Basics of AI
Definition and history of AI
What is AI
The concept of intelligent machine
A brief history of the development of AI
Classification of AI
Weak AI and strong AI
Comparison of different AI technologies
Core technologies of AI
Machine Learning
Supervised learning and unsupervised learning
Introduction to reinforcement learning
Deep Learning
Neural Network Basics
Convolutional neural networks (CNN) and recurrent neural networks (RNN)
Natural Language Processing (NLP)
Language Model
Voice recognition and generation
Application areas of AI
Medical Health
Diagnostic Assistance
Drug development
Financial Technology
Risk Management
Smart investment consultant
Smart City
Traffic Management
Public Safety
Part 2: DeepSeek User Guide
DeepSeek Overview
What is DeepSeek
Functional introduction
Application scenarios
Advantages of DeepSeek
Efficient data processing
User-friendly interface
DeepSeek operation tutorial
Register and log in
create Account
User Interface Introduction
Data upload and processing
Supported file formats
Data cleaning and preprocessing
Interpretation and application of results
How to display results
How to make decisions based on results
DeepSeek Case Study
Industry Cases
Case selection criteria
Case demonstration and discussion
Strategies to apply successfully
Ideas to solve problems
Innovations in the case
Part 3: Application of AI thinking in practice
The importance of AI thinking
Improve the quality of decision-making
Data-driven decision-making process
Predict future trends
Innovation and efficiency
The role of AI in innovation
Methods to improve work efficiency
How to cultivate AI thinking
Learn AI-related knowledge
Recommended learning resources
Development of study plan
Practice and application
Small project practice
Participate in AI community exchanges
Challenges and opportunities for AI thinking
Challenges
Data Privacy and Security
Ethical and legal issues
Opportunities seized
The rapid development of AI technology
The potential of cross-field cooperation
Course Summary and Prospect
Review of course points
Reaffirm the basics of AI
Summary of DeepSeek usage tips
Practical application cases of AI thinking
Future AI development trends
The direction of technological progress
The combination of automation and intelligence
Application prospects of AI in new fields
Personal and social preparation
Skill upgrade and lifelong learning
Society’s adaptation to AI transformation
Interactive Q&A and Feedback
Student question session
Answer students' questions
Share additional resources
Course feedback collection
Collect students' opinions
Course Improvement Program