Hands-on DeepSeek

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Hands-on DeepSeek

Instructor: Hurix Digital

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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There are 3 modules in this course

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.

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.

What's included

4 videos3 readings1 assignment

4 videos Total 13 minutes

Introduction and Welcome 2 minutes
Why Generative AI Changes the Game? 4 minutes
Unlocking DeepSeek: A Mindset Shift for AI-Powered Workflows 3 minutes
Aligning Generative AI Vision Across Cross-Functional Teams 3 minutes

3 readings Total 20 minutes

Welcome to the Course: Course Overview 5 minutes
From Prompting to Proficiency: Evolving with Generative AI Systems 5 minutes
Strategic Prompting: Getting Better Output from GenAI Tools 10 minutes

1 assignment Total 10 minutes

HOL: Drafting a Custom Agent Plan with OKRs and Scope 10 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.

What's included

3 videos2 readings1 assignment

3 videos Total 13 minutes

Real-World Applications: Prompting Deep Seek to Solve End-to-End Tasks 6 minutes
Common Workflow Pitfalls and How to Troubleshoot Them 4 minutes
Optimizing Agent Performance: Prompt Structuring Patterns and Feedback Loop 3 minutes

2 readings Total 12 minutes

DeepSeek in Action: Lessons from AI Agent Deployment 6 minutes
How to Use DeepSeek AI: Quick Start Guide 6 minutes

1 assignment Total 10 minutes

HOL: Design a Multi-Step Workflow Using Tools and Memory 10 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.

What's included

5 videos2 readings3 assignments

5 videos Total 16 minutes

Scaling AI Agent Performance Through Iteration and Feedback 4 minutes
Building Accountability into AI Workflows 4 minutes
Why Prompts Fail: Unpacking Misfires in Generative AI Workflows 3 minutes
Case Study: Scaling Prompt-Based AI Workflows in Dynamic Teams 4 minutes
Congratulations and Continuous Learning Journey 2 minutes

2 readings Total 13 minutes

DeepSeek AI and the Future of Open‑Source AI 5 minutes
Coaching AI Agents for Accountability and Optimization 8 minutes

3 assignments Total 80 minutes

HOL: Design an AI Workflow to Automate a Repetitive Team Task 10 minutes
Design and Deliver Your AI-Powered Workflow with DeepSeek 40 minutes
Assessment 30 minutes

Instructor

Hurix Digital

Coursera

302 Courses 23,476 learners

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