Open enrolment
Building Agentic AI Applications with Dify
Build, Deploy, and Manage AI Agents and Workflows with Dify
Welcome to our Building Agentic AI Applications with Dify public course, a practical, hands-on program for professionals who want to build and deploy AI agents and workflows using the open-source Dify platform.
Includes:
Hands-on Labs, Real-World Use Cases, Workflow Design Workshops & Deployment Guides.
Course fee
$5,400
per participant, incl. exam voucher where applicable
Receive a Netveva Accredited Certification after course completion.
Course Overview
Dify is a rapidly growing open-source platform for building LLM-powered applications, including chatbots, AI agents, and complex automated workflows. It provides a visual interface for prompt engineering, RAG pipeline creation, and multi-step agent orchestration, making it accessible to both technical and semi-technical professionals.
This course covers the complete lifecycle of building agentic AI applications with Dify, from platform setup through to production deployment. Participants will gain hands-on experience building knowledge-grounded assistants, designing visual workflows, developing custom tools, and deploying enterprise-ready AI solutions.
Instructor
We bring you top-tier AI platform engineers and architects as instructors, professionals who combine:
Deep experience with open-source AI platforms including Dify, LangChain, and LlamaIndex
Hands-on production deployment of AI agents in enterprise environments
Strong background in LLM application architecture and RAG systems
Clear, practical communication for diverse technical audiences
Who Should Attend?
AI engineers and developers
Solution architects and technical leads
DevOps and platform engineers
Innovation and digital transformation teams
Anyone building LLM-powered applications
Prerequisites
Participants should have:
Basic understanding of APIs and web applications
Familiarity with AI/LLM concepts
Some programming experience helpful but not required
Learning Objectives
Upon completion, participants will be able to:
Set up and configure Dify for cloud or self-hosted deployment
Build RAG-powered knowledge assistants
Design and implement multi-step automated workflows
Develop custom tools and integrate external APIs
Deploy, monitor, and govern AI agents in production
Organisational Impact
Building AI capabilities with Dify delivers significant value:
• Rapidly prototype and deploy AI solutions without vendor lock-in
• Automate knowledge-intensive workflows with RAG-powered agents
• Reduce development time with visual workflow design
• Maintain full control over data and AI infrastructure
• Scale AI adoption across teams with accessible tooling
Customisation & Delivery Options
Ideal for:
Public enrolment
Corporate teams (customisable schedule and labs)
Industry-specific adaptations
Exam Information
At the end of the program, participants will complete an internal assessment administered by Netveva evaluating platform proficiency, agent design, and deployment skills covered throughout the course.
What's Included
Expert-led instruction
Hands-on labs with Dify platform
Workflow templates and architecture guides
Digital courseware and resources
Certificate of completion
Curriculum
The 5-day outline.
Every day combines instruction with hands-on labs. You leave having done it, not just heard it.
Introduction to Dify & Agentic AI Concepts
Agentic AI fundamentals: autonomy, reasoning, tool calling
Dify platform architecture and open-source ecosystem
Setting up Dify: cloud and self-hosted deployment
Lab: Deploying your first Dify application
Building AI Applications with Dify
Application types: chatbot, text generator, agent, workflow
Prompt engineering and model configuration in Dify
Knowledge base creation with RAG (Retrieval-Augmented Generation)
Lab: Building a RAG-powered knowledge assistant
Workflow Design & Orchestration
Visual workflow builder: nodes, conditions, and branching
Tool integration: APIs, databases, and external services
Multi-step reasoning and agent chaining
Lab: Designing a multi-step automated workflow
Advanced Agent Development
Custom tool development and API integrations
Function calling and autonomous task execution
Memory management and conversation context
Lab: Building an agent with custom tools and memory
Deployment, Monitoring & Production Best Practices
Deployment options: API, web app, embedded widgets
Logging, analytics, and performance monitoring
Security, access controls, and responsible AI governance
Capstone: Deploy a production-ready Dify agent
More dates
Same course. Other dates & cities.
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