DeepSeek AI and Coding Projects: From Prompts to Automation

Name: DeepSeek AI and Coding Projects: From Prompts to Automation
Rating: 4.9 (431 reviews)

Master DeepSeek AI for coding, automation, and real-world apps—build projects with Python, prompts, and local AI tools

Highest Rated

Created byDr. Tahira, Hadia Baig

Last updated 2/2026

English

What you'll learn

Understand how to craft effective prompts to get accurate and helpful coding responses from DeepSeek AI.
Gain hands-on experience using DeepSeek to write, debug, and optimize code in languages like Python and JavaScript.
Learn to automate repetitive development tasks, documentation, and testing using DeepSeek’s AI capabilities.
Build complete AI-assisted projects from concept to deployment, applying practical coding and automation techniques.

Course content

14 sections • 67 lectures • 10h 12m total length

1. Course Roadmap_ What You’ll Learn & Build Step by Step4:04
2. The DeepSeek AI Landscape: Power, Models & Capabilities4:35
3. Choosing the Right AI Model for Coding, Reasoning & Automation4:35
4. DeepSeek Explained: Performance & Open-Source Advantage4:14
Explore how deep seek delivers strong performance through efficiency, optimized training, and smaller architectures, while open weights, commercial freedom, and open source collaboration offer real ownership and local deployment.

1. Generating Your DeepSeek API Key for AI Development4:24
Learn how to generate and securely store your Deep Sea AI API key for AI development. Understand how to use the key for API requests, automation, and real projects.
2. Making Your First API Call with DeepSeek7:22
3. Exploring DeepSeek Models_ Chat, Reasoning & Use Cases6:07
4. Setting Up Visual Studio code for AI-Powered Coding7:34
5. AI Coding Extensions in VS Code_ Continue & Code GPT7:43

1. Creating a New Project with AI Assistance8:52
2. Refactoring & Improving Code Using AI Tools6:58
3. Writing Unit Tests & Debugging with Visual Studio Code8:42
4. Auto-Generating & Improving Documentation using AI6:52
Learn how to auto generate and improve documentation with ai, turning a basic readme and inline code comments into professional, beginner-friendly docs that reduce confusion and save time.

1. File Summarizer_ Instant AI-Powered Summaries10:44
2. AI Debate Partner_ Generate Smart Responses7:32
3. Mood-Based Text Generator with DeepSeek & Gradio9:16
4. DeepSeek Chatbot Real-Time Smart Responses8:07
Build a real-time chatbot with conversation history and instant responses via the deep sea chat endpoint, HTTP requests, and a Gradio interface.
5. AI Language Learning Chatbot: Interactive AI Tutor11:04

1. Zapier Dashboard Walkthrough_ Triggers, Actions & Zaps6:29
2. AI Knowledge Extraction Workflow with Zapier8:05
3. Zapier Agents Tutorial_ AI Gmail Auto-Reply8:21
4. Make Workflow Explained_ Complete Interface Tour5:56
5. Build an AI Content Automation with Make & Deepseek11:20
6. Advanced Make AI Automation_ Routing, JSON & Google Sheets8:44
Explore advanced Make AI automation with routing, structured JSON outputs, and Google Sheets integration, turning content generation into a two-way intelligent system that updates dashboards.

1. Flowise AI Explained_ Complete Interface & Node Breakdown7:37
2. Building a Document Chatbot Using Flowise AI12:42
3. DeepSeek + Flowise AI_ Complete RAG Chatbot Build8:28
4. Getting Started with n8n_ Dashboard & Basics Explained6:10
Get started with the n8n dashboard by exploring core basics, from creating your account and credentials to navigating the left sidebar with workflows, templates, executions, and settings for AI-powered automations.
5. Build an AI Agent in n8n_ Chat Trigger + Memory Workflow8:01
Build an ai agent in n8n from prompts to automation, using a chat trigger and memory workflow powered by the DeepSeek chat model, enabling context-aware, memory-enabled conversations and live testing.
6. Weather-Based AI Newsletter Automation in n8n17:09

1. Course Overview: What You’ll Build and Learn5:02
Learn to write powerful prompts, compare large language models, and automate daily tasks with ai, while building your own ai tools using Python.
2. What is DeepSeek AI? A Simple Guide for New Learners5:33
Explore what Deep Seek AI is, an open-source language model with three tools—Deep Seek Chat, Deep Sea Coder, and Deep Sea Flow—built on transformer architecture for text, code, and automation.
3. DeepSeek vs. ChatGPT: Choosing the Right Tool6:43
Compare DeepSeek and ChatGPT to guide choices for coding, automation, or learning, highlighting offline open source control, pricing, privacy, and integrations for real-world use.
4. Use Cases of DeepSeek in Different Industries3:53

1. Install Python, Visual Studio Code, and PyCharm13:03
2. Install Ollama & Anything LLM for Running Local Models17:59
Install Allama and anything LM to run local models offline, loading Devcic AR1 Deep Seek R1 with lightweight 7b–8b and 1.5b options, plus a UI, commands, and prompts.
3. Customizing AI Text Generation in Anything LLM16:01
4. Why Customizing DeepSeek Matters: A Side-by-Side Comparison11:09

1. Getting Practical with DeepSeek: Prompts and Applications22:17
2. Prompt Optimization: From Vague to Specific12:21
3. Interactive Prompt Challenge: Analyze and Improve Responses12:50
Explore the interactive prompt challenge by analyzing and improving prompts for better accuracy. Discover five common prompts and craft clear, context-rich prompts for reliability tailored to audience and tone.
4. Exploring HTML Code Responses in DeepSeek8:30
Learn how DeepSeek generates HTML code quickly and fixes alignment and layout errors, then run and preview responsive login forms directly in the interface without external tools.

Requirements

No prior experience with AI tools or programming is required.
A basic understanding of how to use a computer and web browser.
Stable internet connection to access DeepSeek and other online tools
A willingness to learn and experiment with AI-assisted coding.

Description

Welcome to DeepSeek AI & Coding Essentials: From First Prompts to Full Automation—a complete beginner’s guide to unlocking the potential of AI-assisted programming.

In this course, you’ll discover how DeepSeek AI can become your personal coding assistant. Whether you're completely new to programming or have some experience, this course will teach you how to write smart prompts, understand AI-generated code, and automate real-world development tasks. You’ll explore how to use DeepSeek to generate code in languages like Python, JavaScript, and HTML/CSS, debug errors, create simple tools, and even build complete applications. You'll also learn how to run the DeepSeek R1 model locally using Ollama and integrate it with Python for advanced, offline automation workflows.

We’ll start with the basics—what DeepSeek AI is, how it works, and how to use it effectively. From there, you’ll move on to practical exercises, guided examples, and hands-on projects that show how AI can streamline your coding workflow. You’ll also learn how to use AI for documentation, testing, and other time-saving tasks.

This course is perfect for students, self-learners, freelancers, and professionals looking to explore the future of software development. All you need is a computer, internet access, and a willingness to learn.

By the end of this course, you'll be confident using DeepSeek AI to solve coding challenges, automate tasks, and bring your programming ideas to life faster than ever before.

Who this course is for:

Beginners with no coding or AI experience
Students and self-learners exploring programming and automation
Freelancers and entrepreneurs wanting to boost productivity with AI tools
Developers curious about integrating DeepSeek AI into their workflow
Tech enthusiasts looking to learn prompt engineering and AI-assisted coding

DeepSeek AI and Coding Projects: From Prompts to Automation

What you'll learn

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Course content

Module 1: DeepSeek AI: What’s New & What’s Next4 lectures • 17min

Module 2: Setting Up the Environment For Deepseek5 lectures • 33min

Module 3: Build Your First Project using AI4 lectures • 31min

Module 4: Advanced Coding Workflows in Visual Studio Code4 lectures • 29min

Module 5: Using the API in Google Colab5 lectures • 47min

Module 6: No-Code Automation Workflows6 lectures • 49min

Module 7: Agent-Based Automation & Flowise6 lectures • 1hr

Module 8: Getting Started with DeepSeek AI4 lectures • 21min

Module 9: Setting Up Your AI Environment4 lectures • 58min

Module 10: Prompt Engineering & Chatbot Exploration4 lectures • 56min

Requirements

Description

Who this course is for: