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Hands-on DeepSeek

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Hands-on DeepSeek

Dozent: Hurix Digital

Bei enthalten

Mehr erfahren

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Kompetenzen, die Sie erwerben

Kategorie: Automation
Kategorie: LLM Application
Kategorie: Application Deployment
Kategorie: Systems Integration
Kategorie: AI Integrations

Werkzeuge, die Sie lernen werden

Kategorie: DeepSeek API
Kategorie: AI Workflows
Kategorie: Generative AI
Kategorie: Deepseek
Kategorie: LangChain

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Dezember 2025

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Unterrichtet in Englisch

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In diesem Kurs gibt es 3 Module

Hands-on DeepSeek: Real-World Tasks with Generative AI is a practical course designed to help developers, data scientists, and AI engineers apply generative AI to real-world problems. You'll begin by exploring how DeepSeek can support core tasks such as summarization, data processing, and code generation. As you progress, you’ll build and test intelligent workflows using memory and reasoning modules to automate responses, extract insights, and generate structured outputs. Finally, you’ll integrate DeepSeek into your own tools and pipelines to drive productivity and adaptability.

Moduldetails

In this foundational lesson, learners will gain a working understanding of DeepSeek’s core capabilities and interface. The focus is on helping learners explore how to use DeepSeek for practical, real-world tasks such as code generation, structured data analysis, content transformation, and natural language querying. Through guided walkthroughs and demonstrations, learners will examine the reasoning capabilities of DeepSeek, understand its workflow integration potential, and test outputs using varied prompts. By the end of this lesson, learners will have the context and confidence to use DeepSeek as a problem-solving tool in everyday work scenarios.

Das ist alles enthalten

4 Videos3 Lektüren1 Aufgabe

4 VideosInsgesamt 13 Minuten

Introduction and Welcome2 Minuten
Why Generative AI Changes the Game?4 Minuten
Unlocking DeepSeek: A Mindset Shift for AI-Powered Workflows3 Minuten
Aligning Generative AI Vision Across Cross-Functional Teams3 Minuten

3 LektürenInsgesamt 20 Minuten

Welcome to the Course: Course Overview5 Minuten
From Prompting to Proficiency: Evolving with Generative AI Systems5 Minuten
Strategic Prompting: Getting Better Output from GenAI Tools10 Minuten

1 AufgabeInsgesamt 10 Minuten

HOL: Drafting a Custom Agent Plan with OKRs and Scope10 Minuten

In this lesson, learners will apply DeepSeek’s advanced reasoning and problem-solving capabilities to construct AI workflows tailored to practical challenges. They will explore how to break down real-world tasks—such as automating responses, summarizing content, or generating structured outputs—and design workflows using DeepSeek prompts, memory, and tool integration. Through examples and guided activities, learners will iterate on solutions, troubleshoot behavior, and optimize their AI agents for consistent, useful performance in real applications.

Das ist alles enthalten

3 Videos2 Lektüren1 Aufgabe

3 VideosInsgesamt 13 Minuten

Real-World Applications: Prompting Deep Seek to Solve End-to-End Tasks6 Minuten
Common Workflow Pitfalls and How to Troubleshoot Them4 Minuten
Optimizing Agent Performance: Prompt Structuring Patterns and Feedback Loop3 Minuten

2 LektürenInsgesamt 12 Minuten

DeepSeek in Action: Lessons from AI Agent Deployment6 Minuten
How to Use DeepSeek AI: Quick Start Guide6 Minuten

1 AufgabeInsgesamt 10 Minuten

HOL: Design a Multi-Step Workflow Using Tools and Memory10 Minuten

In this final lesson, learners will discover how to embed DeepSeek into existing organizational workflows to drive scalable automation and enhance decision-making efficiency. The lesson emphasizes integration strategies, including connecting DeepSeek to external tools (e.g., APIs, databases, productivity platforms), enabling multi-agent orchestration, and adapting outputs based on live input streams. Learners will explore case-based scenarios that require workflow refinement in dynamic environments—such as updating reports in real-time, streamlining document analysis, or automating internal support tasks. By the end of this module, learners will be equipped to extend their AI systems into production settings, optimize cross-platform coordination, and measure the tangible productivity impact of DeepSeek integrations.