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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Hands-on DeepSeek

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Ce cours n'est pas disponible en Français (France)

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Hands-on DeepSeek

Instructeur : Hurix Digital

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

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

Outils que vous découvrirez

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

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

décembre 2025

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Enseigné en Anglais

91%

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Il y a 3 modules dans ce cours

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.

Détails du module

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.

Inclus

4 vidéos3 lectures1 devoir

4 vidéosTotal 13 minutes

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

3 lecturesTotal 20 minutes

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

1 devoirTotal 10 minutes

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

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.

Inclus

3 vidéos2 lectures1 devoir

3 vidéosTotal 13 minutes

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

2 lecturesTotal 12 minutes

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

1 devoirTotal 10 minutes

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

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.