What you'll learn?
- Differentiate between DeepSeek's various AI models (Code, Chat, LLM) and their optimal use cases.
- Master fundamental and advanced prompt engineering techniques for diverse DeepSeek applications.
- Generate, debug, and refactor code efficiently using DeepSeek-Coder for development tasks.
- Develop engaging conversational AI and complex text generation solutions with DeepSeek-Chat and LLMs.
- Integrate DeepSeek models into custom applications using APIs for scalable solutions.
- Implement strategies for evaluating and optimizing DeepSeek model performance.
- Apply DeepSeek models to real-world projects in code generation, content creation, and automation.
- Understand the ethical implications and responsible deployment of large language models.
Course Modules
Module 1: Introduction to DeepSeek AI & Its Ecosystem
- What is DeepSeek AI? An Overview
- The DeepSeek Model Family: Code, Chat, LLM
- Key Capabilities and Use Cases of Each Model
- Understanding the Underlying Architectures (briefly)
- Setting Up Your DeepSeek Environment
Module 2: DeepSeek-Coder: Your AI Programming Assistant
- Navigating the DeepSeek-Coder Interface/API
- Generating Code from Natural Language Prompts
- Code Completion and Refactoring with AI
- Debugging and Error Correction Assistance
- Translating Code Between Languages
- Best Practices for Coding with DeepSeek-Coder
Module 3: DeepSeek-Chat & LLMs: Conversational & Text Generation
- Exploring DeepSeek-Chat's Capabilities
- Engaging in Natural Language Conversations
- Summarization, Translation, and Paraphrasing
- Creative Content Generation (Stories, Marketing Copy)
- Information Extraction and Question Answering
- Structuring Responses for Dialogue Systems
Module 4: Fundamentals of Prompt Engineering for DeepSeek
- The Art of Crafting Effective Prompts
- Zero-Shot vs. Few-Shot Prompting
- Clear Instructions and Context Setting
- Defining Output Format and Constraints
- Iterative Prompt Refinement
- Common Prompting Pitfalls to Avoid
Module 5: Advanced Prompting Techniques & Strategies
- System Prompts and Role Assignment
- Chain-of-Thought (CoT) Prompting
- Self-Correction and Self-Reflection Techniques
- Handling Ambiguity and Nuance
- Prompt Chaining for Complex Workflows
- Strategies for Reducing Hallucinations
Module 6: Integrating DeepSeek with APIs
- Understanding DeepSeek API Endpoints
- Authentication and API Key Management
- Making API Requests (Python examples)
- Handling API Responses and Errors
- Rate Limiting and Best Practices for Production
- Basic Streamlit/Flask Integration for Demos
Module 7: Project: Building an AI-Powered Code Assistant
- Project Planning: Defining Requirements
- Using DeepSeek-Coder for Function Generation
- Implementing Code Review and Refactoring Features
- Integrating with an IDE (conceptual)
- Testing and Debugging Your Assistant
- Deploying a Simple Local Version
Module 8: Project: Developing a Custom Chatbot/Content Generator
- Project Planning: Designing User Flows
- Leveraging DeepSeek-Chat for Conversational Logic
- Creating a Content Generation Pipeline
- Managing Context and History in Conversations
- Evaluating Chatbot Performance
- Building a Simple Web Interface (Streamlit/Gradio)
Module 9: Customization, Fine-tuning Concepts & Model Evaluation
- Understanding When to Fine-Tune (Conceptually)
- Data Preparation for Fine-tuning (Overview)
- Monitoring Model Performance Metrics
- Strategies for Bias Detection and Mitigation
- A/B Testing Different Prompts/Models
- Feedback Loops for Continuous Improvement
Module 10: Ethical AI, Responsible Use & Future Trends
- Understanding AI Bias and Fairness
- Privacy and Data Security Considerations
- Responsible Deployment of AI Models
- DeepSeek's Stance on Ethical AI
- Emerging Trends in LLMs and Code Generation
- Career Opportunities in AI Development
What is unique about this training program?
- Reasoning stress tests using multi-step logic and math prompts
- Prompt tuning exercises for structured analytical outputs
- Error pattern tracking across repeated reasoning tasks
- Comparison drills between DeepSeek and human problem-solving paths
- Reliability scoring methods for uncertain or incomplete inputs
- Cost-efficiency analysis using real query volume scenarios
- Risk evaluation of hallucinations in research-driven workflows
- Generating professional Code from Natural Language Prompts
Certification
This is how the NSDC and Skill India certificate will appear under the current approved format (subject to updates by the authorities).
Vinod Mehra
Software Development | Tech & Gadgets EnthusiastI’m a seasoned tech entrepreneur and business strategist with over 35 years of experience spanning digital marketing, software development, and project management consulting. As the founder of a dynam...
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