This Specialization equips learners with the skills to build, integrate, and deploy AI-powered applications and intelligent agents using DeepSeek. Through hands-on projects, learners will explore real-world use cases, automate workflows with tools like n8n and Make.com, and implement advanced techniques such as embeddings, Retrieval-Augmented Generation (RAG), and task-based AI agents. By the end of the program, learners will be able to create scalable, production-ready AI solutions for automation, data processing, and enterprise applications.
Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization
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Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization
Master AI Agents and Workflows with DeepSeek. Build and deploy AI agents and workflows using DeepSeek with n8n and Make.com automation tools.
Instructors: Board Infinity
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Get in-depth knowledge of a subject
4.2
(19 reviews)
Intermediate level
Recommended experience
3 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.2
(19 reviews)
Intermediate level
Recommended experience
3 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Build and deploy intelligent agents using DeepSeek with n8n and Make.com.
Automate real-world workflows using LLMs, embeddings, and RAG techniques.
Integrate AI models into production-ready applications with minimal code.
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
June 2025
45 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Board Infinity
Specialization - 3 course series
What you'll learn
Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions.
Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows.
Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage.
Implement end-to-end AI development workflows using DeepSeek by combining setup, generation, evaluation, and deployment strategies.
Skills you'll gain
Category: Case Studies
Category: LLM Application
Category: Cloud Applications
Category: Application Design
Category: Deepseek
Category: Technology Strategies
What you'll learn
Understand the fundamentals of workflow automation using n8n and how to structure intelligent projects.
Build end-to-end workflows using triggers, nodes, and real-world data sources such as Gmail and Google Sheets.
Integrate DeepSeek into workflows to extract insights, classify data, and automate responses using large language models.
Deploy intelligent automation systems by orchestrating AI agents, handling errors, and optimizing workflows for real-world scalability.
Skills you'll gain
Category: Workflow Management
Category: Business Process Automation
Category: Prompt Engineering
Category: Application Deployment
Category: Generative AI
Category: No-Code Development
Category: Automation
Category: Gmail
Category: LLM Application
Category: Deepseek
Category: Data Integration
Category: Text Mining
Category: Google Sheets
What you'll learn
Build AI-powered email automation using Make.com, DeepSeek, Gmail, and Google Sheets to classify and respond to user messages.
Create intelligent workflows with LLMs by configuring triggers, filters, prompt engineering, and task-specific DeepSeek modules.
Design real-world automation pipelines by integrating case-driven AI logic with hands-on Make.com components and APIs.
Deploy and monitor end-to-end AI workflows by integrating error handling, logging mechanisms, and performance optimizations in Make.com.
Skills you'll gain
Category: Automation
Category: Prompt Engineering
Category: No-Code Development
Category: Debugging
Category: LLM Application
Category: Email Automation
Category: Data Management
Category: Google Workspace
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Make.com
Category: Deepseek
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Frequently asked questions
The specialization takes approximately 3 months to complete.
Basic knowledge of programming, APIs, and working with web-based tools is recommended. Familiarity with automation platforms like n8n or Make.com and a general understanding of AI concepts will be helpful but is not mandatory.
It is recommended to take the courses in sequence, as each builds on the previous one; however, learners with prior knowledge may start with any specific topic they wish to focus on.
More questions
Financial aid available,