coaching-sessions

jesusbrasero · jesusbrasero · commit 05c6d1cd5a13 · 2024-10-17T15:21:21.000+02:00
diff --git a/ai-and-app-modernisation/ai-services/README.md b/ai-and-app-modernisation/ai-services/README.md
@@ -2,12 +2,20 @@
  
 Oracle Cloud Infrastructure (OCI) AI Services is a collection of services with prebuilt machine learning models that make it easier for developers to apply AI to applications and business operations. The models can be custom-trained for more accurate business results. Teams within an organization can reuse the models, datasets, and data labels across services. OCI AI Services makes it possible for developers to easily add machine learning to apps without slowing down application development.
 
-Reviewed: 30.01.2024
+Reviewed: 17.10.2024
+
+# Team Publications
+- [Cloud Coaching - Low Code embraces Oracle Cloud Infrastructure AI services](https://www.youtube.com/watch?v=0oHixpA9JDc)
+    - Learn how to create applications that read, modify, and classify documents with a couple of clicks using our low code development platform and some of the OCI AI services offering.
 
 # Table of Contents
  
-  - [Useful Links](#useful-links)
-  - [Reusable Assets](#reusable-assets)
+- [AI Services](#ai-services)
+- [Team Publications](#team-publications)
+- [Table of Contents](#table-of-contents)
+- [Useful Links](#useful-links)
+- [Reusable Assets](#reusable-assets)
+- [License](#license)
 
 # Useful Links
 
diff --git a/ai-and-app-modernisation/ai-services/ai-document-understanding/README.md b/ai-and-app-modernisation/ai-services/ai-document-understanding/README.md
@@ -2,16 +2,19 @@
  
 Oracle Cloud Infrastructure (OCI) Document Understanding is an AI service that enables developers to extract text, tables, and other key data from document files through APIs and command-line interface tools. With OCI Document Understanding, you can automate tedious business processing tasks with prebuilt AI models and customize document extraction to fit your industry-specific needs.
 
-Reviewed: 30.01.2024
+Reviewed: 17.10.2024
 
 
 # Table of Contents
  
-  - [Team Publications](#team-publications)
-  - [LiveLabs and Workshops](#livelabs-and-workshops)
+- [Document Understanding](#document-understanding)
+- [Table of Contents](#table-of-contents)
+- [Team Publications](#team-publications)
   - [Reusable Assets Overview](#reusable-assets-overview)
-  - [Useful Links](#useful-links)
+- [Useful Links](#useful-links)
+  - [LiveLabs and Workshops](#livelabs-and-workshops)
   - [Customer Stories](#customer-stories)
+- [License](#license)
 
 # Team Publications
 
@@ -43,6 +46,8 @@ Reviewed: 30.01.2024
 - [Document Understanding (Insurance Document) Key Value extraction demo](https://youtu.be/QsFqaRxtV1s)
 - [Cloud Customer Connect - How to Train Your Oracle AI Cloud Service Model](https://community.oracle.com/customerconnect/events/604740-oci-how-to-train-your-oracle-ai-cloud-service-model)
     - In this session, we demonstrate how you can use OCI AI services, to create custom models using the data labeling, vision, and document understanding service.
+- [Cloud Coaching - Low Code Modular RAG-based Knowledge Search Engine using Oracle GenAI](https://www.youtube.com/watch?v=KkVomurY_0Q)
+    - In this coaching session, you’ll learn how to use low-code integration with Oracle Integration Cloud to integrate and orchestrate social media channels like WhatsApp, Business channels like a Web Application built in Oracle Visual Builder, productivity channels like OCI Object Storage, local large and small language models (LLMs), and vector databases to ingest live data into the RAG-based Knowledge Search Engine store. 
 
 # Useful Links
 
diff --git a/ai-and-app-modernisation/ai-services/ai-language/README.md b/ai-and-app-modernisation/ai-services/ai-language/README.md
@@ -20,6 +20,11 @@ Reviewed: 17.10.2024
 
 - [Saving the Bees using AI: One Positive Entity at a Time](https://www.linkedin.com/pulse/saving-bees-using-ai-one-positive-entity-time-ismail-syed/)
 - [AI Meetings: Sentiment analysis & Name Entity Recognition](https://www.oracle.com/artificial-intelligence/automate-meeting-transcriptions/)
+- [Cloud Coaching - Unlock the potential of enterprise Oracle GenAI](https://www.youtube.com/watch?v=dtvP0DU7Mdg)
+    - During this cloud coaching session, we demonstrate how to leverage AI to revolutionize meeting interactions. Experience real-time transcription, summary generation, a chat interface and more that enhances collaboration and productivity. 
+- [Cloud Coaching - Oracle Integration (OIC3) and AI Language Service](https://www.youtube.com/watch?v=9gDHVjwKDR8)
+    - The aim of this video is to show practical examples when and how to use AI Language Service - Named Entity Recognition method. 
+
 
 ## Architecture Center
 
diff --git a/ai-and-app-modernisation/ai-services/ai-speech/README.md b/ai-and-app-modernisation/ai-services/ai-speech/README.md
@@ -26,6 +26,14 @@ Reviewed: 17.10.2024
     - OCI Speech is an AI service that applies automatic speech recognition technology to transform audio-based content into text. Generative AI, The Large Language Model (LLM) analyzes the text input and can generate, summarize, transform, and extract information. Using these AI capabilities, we built a low code application- “Integrate OCI AI Speech Service and Generative AI Service for Summarization in Visual Builder " to invoke AI Speech REST API to convert audio files into text and then further invoke the Generative AI REST API to Summarize it.
 - [Demos built using OCI Python SDK](https://github.com/luigisaetta/oci-speech-demos)
 - [AI Speech console demo](https://youtu.be/EWBSoSLNph8)
+- [Cloud Coaching - Unlock the potential of enterprise Oracle GenAI](https://www.youtube.com/watch?v=dtvP0DU7Mdg)
+    - During this cloud coaching session, we demonstrate how to leverage AI to revolutionize meeting interactions. Experience real-time transcription, summary generation, a chat interface and more that enhances collaboration and productivity. 
+- [Cloud Coaching - Build an OCI AI Speech-to-Text App Using Visual Builder and Functions](https://www.youtube.com/watch?v=9-KiORugqGc)
+    - We guide you through building a speech-to-text application using Oracle's powerful cloud services. Leverage the Oracle Speech service to accurately transcribe audio and video files with speaker identification. We'll show you how to integrate Python and Oracle Functions for backend processing, and utilize Oracle Visual Builder Cloud Service to create a user-friendly interface. Gain the ability to upload audio/video files, download transcripts, and even preview the transcribed text within your application.
+        - Utilize Oracle Speech for accurate speaker transcription. 
+        - Integrate Python and Oracle Functions for backend processing.
+        - Build a user-friendly interface with Oracle Visual Builder Cloud Service. 
+         -Download, and preview transcribed text.
 
 ## Architecture Center
 
diff --git a/ai-and-app-modernisation/ai-services/ai-vision/README.md b/ai-and-app-modernisation/ai-services/ai-vision/README.md
@@ -22,6 +22,15 @@ Reviewed: 17.10.2024
 - [Build a real-time object identifier using OCI Vision and Oracle Autonomous Database](https://docs.oracle.com/en/solutions/realtime-ocivision-object-identification/index.html#GUID-A875FB7D-29E3-4FBF-AED5-C0CF43F71469)
     - The reference architecture describes how you can integrate an OCI Vision-trained model with a front-end web app to perform real-time object identification with a mobile phone camera. 
 - [Build a meal recommmendation Engine with OCI Vision & Generative AI](https://www.oracle.com/artificial-intelligence/build-a-meal-recommendation-engine-with-ai/)
+- [Cloud Coaching - Unlock Culinary Creativity: AI Powered Cooking Adventure from Fridge to Fork!](https://www.youtube.com/watch?v=tRVwTLKS4rE&t)
+    - You are in the mood of cooking an exotic dish. You open the refrigerator, and using the mobile phone, access your favourite retail app to scan the items you have and submit. 
+      -  This triggers a series of actions:
+      -  OCI AI Vision identifies the items (specific vegetables, egg, chicken etc).
+      -  On choosing your favourite cuisine, OCI Generative AI suggests a list of dishes based on identified items.
+      -  On selecting your favourite dish, OCI Generative AI provides the detailed recipe. Also, the missing ingredients are listed, with an option to order the same. 
+- [Cloud Coaching - Discover OCI Vision for Object Detection in Manufacturing, Retail, & More](https://www.youtube.com/watch?v=lHH_1MXGOc0)
+    - In this session you learn how OCI Vision can identify, classify, and quantify visual data in powerful ways. Watch as the service identifies objects (people, cars, trees, and so forth) and categorizes them. See how it can even detect faces or key points in faces for analysis.
+
 
 # Useful Links
  
diff --git a/ai-and-app-modernisation/ai-services/generative-ai-service/README.md b/ai-and-app-modernisation/ai-services/generative-ai-service/README.md
@@ -35,9 +35,28 @@ Reviewed: 17.10.2024
     - Deep dive into Oracle Generative AI platform.
 - [AI Meetings: Meeting summarization and chat meeting](https://www.oracle.com/artificial-intelligence/automate-meeting-transcriptions/)
 - [Build a meal recommmendation Engine with OCI Vision & Generative AI](https://www.oracle.com/artificial-intelligence/build-a-meal-recommendation-engine-with-ai/)
+- [Cloud Coaching - Unlock the potential of enterprise Oracle GenAI](https://www.youtube.com/watch?v=dtvP0DU7Mdg)
+    - During this cloud coaching session, we demonstrate how to leverage AI to revolutionize meeting interactions. Experience real-time transcription, summary generation, a chat interface and more that enhances collaboration and productivity. 
+- [Cloud Coaching - Unlock Culinary Creativity: AI Powered Cooking Adventure from Fridge to Fork!](https://www.youtube.com/watch?v=tRVwTLKS4rE&t)
+    - You are in the mood of cooking an exotic dish. You open the refrigerator, and using the mobile phone, access your favourite retail app to scan the items you have and submit. 
+      -  This triggers a series of actions:
+      -  OCI AI Vision identifies the items (specific vegetables, egg, chicken etc).
+      -  On choosing your favourite cuisine, OCI Generative AI suggests a list of dishes based on identified items.
+      -  On selecting your favourite dish, OCI Generative AI provides the detailed recipe. Also, the missing ingredients are listed, with an option to order the same. 
+- [Build an AI assistant you can access through Slack, Teams and more  - Oracle LiveLabs](https://livelabs.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=4015)
+- [How Generative AI helps you build smarter applications - Oracle LiveLabs](https://apexapps.oracle.com/pls/apex/f?p=133:180:109475216202632::::wid:4016)
+- [Cloud Coaching - Low Code Modular RAG-based Knowledge Search Engine using Oracle GenAI](https://www.youtube.com/watch?v=KkVomurY_0Q)
+    - In this coaching session, you’ll learn how to use low-code integration with Oracle Integration Cloud to integrate and orchestrate social media channels like WhatsApp, Business channels like a Web Application built in Oracle Visual Builder, productivity channels like OCI Object Storage, local large and small language models (LLMs), and vector databases to ingest live data into the RAG-based Knowledge Search Engine store. 
+- [Cloud Coaching - Unleashing the Power of Oracle AI to Master RFx Responses](https://www.youtube.com/watch?v=0Z-gBTgUTRM)
+  - In this session we explore the design and development of an innovative solution, leveraging Generative AI, to assist in the generation of responses to RFx (request for anything). 
+- [Cloud Coaching - Enhancing your RAG to support multiple languages](https://www.youtube.com/watch?v=1wyvWOI-Vig)
+    - Multilingual support for Retrieval-Augmented Generation (RAG) can be obtained either with a multilingual LLM or by interfacing a single language LLM with a translation service.
+      - In this example, we’ll explore how to do the latter, by integrating Oracle Cloud Infrastructure (OCI) AI Language between LLM output and the user UI. This can be useful in many use cases, where a multilingual LLM is unavailable or RAG data sources are only available in a limited number of translations.
+      - In this webinar, we will continue to use the RAG architecture presented in our previous Cloud Coaching sessions, and update it to use a multilingual embedding model.
+
 
 # Useful Links
- 
+
 - [AI Solutions Hub](https://www.oracle.com/artificial-intelligence/solutions/)
 - [Navigating the frontier: Key considerations for developing a generative AI integration strategy for the enterprise](https://blogs.oracle.com/ai-and-datascience/post/considerations-generative-ai-integration-strategy)
 - [The Future of Generative AI: What Enterprises Need to Know](https://blogs.oracle.com/ai-and-datascience/post/future-generative-ai-what-enterprises-need-to-know) 
