- 8 Sections
- 32 Lessons
- 6 Hours
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- Module 1: Introduction to the Deepseek Ecosystem5
- 1.1What is Deepseek? Understanding its Unique Architecture (MoE)15 Minutes
- 1.2The Deepseek Model Family: Deepseek Coder vs. Deepseek-V2 (General Purpose)
- 1.3Why Deepseek for Code? Benchmarking and Core Strengths
- 1.4The Fundamentals of Effective Prompting: Clarity, Context, and Constraints
- 1.5Deepseek Core Concepts and Model Differentiation10 Questions
- Module 2: Foundational Prompting Techniques5
- 2.1Zero-Shot vs. Few-Shot Prompting: Providing Examples for Better Output
- 2.2Role-Based Prompting: “You are a Senior Python Developer…”
- 2.3Chain-of-Thought (CoT) Prompting to Improve Reasoning
- 2.4Enforcing Structured Data Output: Generating JSON, Markdown, and XML
- 2.5Core Prompt Engineering Techniques10 Questions
- Module 3: Mastering Code Generation with Deepseek Coder5
- 3.1Prompting for Boilerplate Code and Scaffolding (e.g., Web Servers, API Clients)
- 3.2Advanced Algorithm Generation: From Pseudocode to Optimized Code
- 3.3Code Translation: Prompting to Port Codebases (e.g., Python to Go)
- 3.4Test-Driven Development (TDD) with AI: Generating Unit and Integration Tests
- 3.5Advanced Code Generation and TDD10 Questions
- Module 4: Code Analysis, Debugging, and Optimization5
- 4.1Prompting for Code Explanation and In-Line Documentation
- 4.2Iterative Debugging: Using Deepseek to Find and Fix Elusive Bugs
- 4.3Code Refactoring and Optimization: Improving Readability and Performance
- 4.4The “Fill-in-the-Middle” (FIM) Technique for Code Completion
- 4.5Debugging, Refactoring, and Code Analysis10 Questions
- Module 5: Prompting Deepseek-V2 for General & Creative Tasks5
- 5.1Advanced Text Summarization and Analysis for Technical Documents
- 5.2Creative and Technical Writing: Generating Blog Posts, Documentation, and Reports
- 5.3Complex Reasoning: Solving Logic Puzzles and Business Case Studies
- 5.4Building Multi-Step Prompt Chains for Complex Workflows
- 5.5General Purpose and Creative Prompting10 Questions
- Module 6: Practical API Integration and Automation5
- 6.1Interacting with the Deepseek API: Authentication and Endpoints
- 6.2Mastering API Parameters: `temperature`, `top_p`, `frequency_penalty`
- 6.3Building a Simple Python Application with the Deepseek API
- 6.4Managing Conversation History and Context Windows for Chatbots
- 6.5API Integration and Parameter Tuning10 Questions
- Module 7: Advanced Security, Ethics, and Optimization5
- 7.1Prompt Iteration and Version Control: How to Test and Improve Your Prompts
- 7.2Prompt Hacking: Understanding and Defending Against Prompt Injection
- 7.3Ethical Code Generation: Avoiding Security Vulnerabilities and Bias
- 7.4The Future of MoE Models and What It Means for Prompting
- 7.5Prompt Optimization and Responsible AI10 Questions
- Module 8: Capstone Project: Building a Specialized AI Tool5
Final Project Demonstration and Code Walkthrough
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