somalaraju Harsha
Учасник із 2025
Золота ліга
Кількість балів: 2447
Учасник із 2025
This video covers how to personalize your Gemini results in Google Workspace. Learn to incorporate documents and research papers directly into your prompts using the "@" symbol to get more targeted and relevant AI output tailored to your needs.
This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.
Teaching computers to see and listen is a lot easier when you have pre-trained machine learning APIs doing the heavy lifting. In this adventure, you'll start by querying Google Cloud endpoints directly from APIs Explorer, then teach your applications to read multilingual text, recognize facial features, and spot landmarks in raw photos. Once your visual pipeline is dialed in, you'll turn to audio—converting spoken words into real-time transcripts and streaming live audio directly through web interfaces. Knock out both challenge labs unassisted to prove you can turn unstructured sight and sound into clean, actionable cloud intelligence.
Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
Transforming unstructured multimedia into searchable, structured data is the core of modern cognitive computing. In this voyage, you'll analyze sentiment and extract entities using the Cloud Natural Language API, pairing language workflows with Apache Spark to demonstrate big-data scalability. From there, you'll branch into multimodal synthesis—generating lifelike audio using Text-to-Speech, bridging global barriers with the Cloud Translation API, and annotating video streams via Video Intelligence. Complete both challenge labs to prove you can deploy pre-trained models that read, speak, translate, and inspect content at scale.
Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.