technifyed

Overview

Explore the vital transition from task-driven workflows to human-centric AI orchestration. You will learn to strategically distinguish between augmentation and automation, and how to balance machine efficiency with human intuition.

What you'll learn

  • Distinguish between augmentation and automation.
  • Leverage Gen AI for strategic cognitive enhancement
  • Identify and automate high-volume, rule-based tasks
  • Implement "Human-in-the-Loop" frameworks

Syllabus 2

  1. 1. Keeping humans in the loop
  2. Shift from manual task execution to human-centric AI orchestration. This module teaches you to balance machine efficiency with human intuition, ensuring a human-in-the-loop approach remains at the co…

Skills you'll practise

Artificial IntelligenceWorkflow ManagementAutomation

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 (2 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.

Similar courses

Compare these

Stanford University · YouTube

AI Luminaries

A curated collection of videos featuring top experts in artificial intelligence.

Free video20 videos, 15 hours

Stanford University · YouTube

Generative AI Program

-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…

Free video24 videos, 2 hours

Stanford University · YouTube

Artificial Intelligence

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…

Free video187 videos, 142 hours

Stanford University · YouTube

Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018

Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…

Free video21 videos, 28 hours

Massachusetts Institute of Technology · YouTube

MIT 6.034 Artificial Intelligence, Fall 2010

View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…

Free video30 videos, 24 hours

Stanford University · YouTube

Large Language Models (LLMs)

Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.

Free video26 videos, 42 hours