technifyed

Google Cloud via Coursera

Gemini in Google Vids

4.493 ratings at Coursera

Overview

In this course, you'll learn about Google Vids, an online video creation and editing app available to select Google Workspace users. Through lessons and demos, you'll learn how to build and tell compelling stories through video at work. You'll also discover how to seamlessly incorporate media, audio and video clips, customize styles, and easily share your creations.

Some Vids features use generative AI to help you work more efficiently. Remember, generative AI tools including Gemini, may suggest inaccurate or inappropriate information. Don’t rely on Gemini features as medical, legal, financial or other professional advice. It’s also important to remember that the Gemini feature suggestions don’t represent Google’s views, and should not be attributed to Google.

Syllabus 4

  1. Introduction: The digital detective 20 minutes

    This module establishes the need for using Google Vids and introduces course learning objectives .

  2. Get started with Google Vids 55 minutes

    In this module, learners will walk through business use cases for Google Vids, generating drafts using templates, converting Google Slides, recording screens with the Chrome extension, and leveraging AI tools to create video clips, transcripts, and custom music.

  3. AI avatars 35 minutes

    This module covers leveraging preset avatars across multiple global languages, designing custom-branded avatars with company logos, applying AI voice emotion steering, and creating a personal avatar by recording your own face and voice.

  4. Conclusion 25 minutes

    In this module, learners will review course goals and identify additional resources to continue learning about Google Workspace products.

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From Google, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

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

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Google Cloud Training

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

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

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

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Stanford University · YouTube

Stanford CME295: Transformers and Large Language Models I Autumn 2025

This course explores the world of Transformers and Large Language Models (LLMs). You will learn the evolution of NLP methods, the core components of the Transformer architecture, along with how they relate to LLMs as well as techniques to enhance model performance for real-world applications. Throu…

Free video9 videos, 16 hours

Stanford University · YouTube

Transformers

Dive into the intriguing world of AI Transformers with this curated YouTube playlist. Featuring expert insights, educational content from leading organizations, and engaging discussions, this playlist keeps you informed about the latest breakthroughs in Transformer technology.

Free video16 videos, 17 hours

Stanford University · YouTube

Stanford CS25 - Transformers United

Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…

Free video50 videos, 56 hours

Enter your email and the official page opens. Phone is optional.