technifyed

Overview

Take your agents from localhost to production. This course teaches you to deploy ADK agents to Vertex AI Agent Engine and Cloud Run, with optional cross-session memory via Memory Bank.

What you'll learn

  • Deploy to production
  • Production session state
  • Cross-session memory
  • Deployment options

Syllabus 9

  1. 1. Understanding deployment
  2. Learn the fundamentals of agent deployment and prepare your Google Cloud environment.
  3. 2. Deploy to Vertex AI Agent Engine
  4. Learn to deploy your first agent to Vertex AI Agent Engine with a single command.
  5. 3. Production memory (memory bank)
  6. Learn memory bank for cross-session memory. This is for awareness—full implementation details are in the ADK documentation.
  7. 4. Deploy to Cloud Run
  8. Learn to deploy agents to Cloud Run as an alternative to Agent Engine.
  9. 5. Reading List

Skills you'll practise

Vertex AI

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From Google, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (9 parts) you can see before you start.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $20). Audit access may end after the course closes.

Google is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (88/100). They build what they teach.

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