12 Sections
15 Lessons
4 Weeks
Expand all sections
Collapse all sections
Introduction to Vercel AI Agents
1
1.1
Overview of Vercel AI, agent capabilities, applications, and workflow design.
Setting Up Your Vercel Workspace
1
2.1
Account setup, environment configuration, and project templates.
Understanding AI Agent Architecture
1
3.1
How Vercel AI agents process input, maintain context, generate outputs, and interact with external tools.
Prompt Engineering Essentials
1
4.1
Designing effective prompts, context framing, multi-step instructions, and controlling outputs.
Building Your First Vercel AI Agent
1
5.1
Step-by-step creation, task configuration, testing, and initial deployment.
API & Tool Integration
1
6.1
Connect AI agents to external services: email, databases, websites, and APIs.
Automating Multi-Step Workflows
1
7.1
Chaining actions, task decomposition, agent loops, and autonomous execution.
Agent Memory & Knowledge Management
1
8.1
Using embeddings, vector stores, and memory to store context and make intelligent decisions.
Debugging & Optimizing Agents
1
9.1
Performance tuning, error handling, monitoring logs, and improving outputs.
Advanced Customization & Multi-Agent Systems
1
10.1
Creating multiple agents, role-based task allocation, and collaboration between agents.
Real-World AI Agent Projects
4
11.1
A workflow automation Vercel AI agent
11.2
A research & summarization AI application
11.3
A business process automation AI project
11.4
An integrated multi-tool Vercel AI application
Final Assessment & Certification
1
12.1
Project submission, practical evaluation, viva on AI agent design & workflow, and certification.
Vercel AI Engineering with AI Agents – Build, Deploy & Automate AI-Powered Applications
Curriculum
This content is protected, please
login
and enroll in the course to view this content!
Home
Courses
Search
Search
Account
Login with your site account
Prove your humanity
8 + 3 =
Lost your password?
Remember Me
Modal title
Main Content