(A “Syllabuck” is like a Syllabus, but more like that second definition, and certainly more random)
I recently attended, presented, worked and did interviews at the Microsoft Ignite 2018 Conference in Orlando. If you have never been, you should go sometime. 30,000 people, 2.1 million square feet of space, and ten+ miles of walking per day. And the content is *incredible*.
That being said, I rarely got to *see* any of the content. I was so busy working, teaching, and interacting, I had to watch (and am still in the process of watching) many of the sessions online. I’ve gathered the areas of interest I had into a Syllabuck you can access, right from YouTube. A lot of this information I already know, and even teach – but I like watching others present the information, using it as a reference, and sometimes even pointing you to that material in my courses as ancillary knowledge. And yes, I tend to learn things from time to time. 🙂 So without further ado, here is my list of sessions:
Videos (Click for Ignite Link to all videos, needs sign-in. Or, use my YouTube links below)
AI Services
THR1071 – Microsoft Cognitive Services, AI, and the rise of the machines
BRK2290 – AI-based vertical solutions: Use pre-trained Cognitive Services
BRK3309 – AI for business optimization: Leveraging custom speech, vision, and search
THR2175 – AI TechTalk: What’s new in Cognitive Services speech recognition products
THR2185 – AI TechTalk: Easy site search solutions with Bing Custom Search API
THR2172 – AI Tech Talk: Power your apps with Microsoft’s cutting-edge visual search capabilities
BRK3328 – AI at your service: Creating enterprise-scale intelligent agents and bots
BRK3329 – AI for knowledge mining: Using Cognitive Search
BRK3023 – Getting started with Microsoft Search
Azure Machine Learning
BRK2304 – AI with Azure Machine Learning services: Simplifying the data science process
THR3098 – AI TechTalk: Azure Machine Learning SDK – a walkthrough
BRK3332 – Generating high quality models efficiently using Automated ML and Hyperparameter Tuning
BRK3333 – AI everywhere: Open and interoperable platform for AI with ONNX
SQL Server and Machine Learning
SQL Server Machine Learning Services: An E2E platform for machine learning – BRK2183
GS005 – Making AI real with SQL Server, Azure databases and Azure big data analytics services
THR2096 – Databases, containers, and pods: SQL Server on Kubernetes
BRK2416 – The roadmap for SQL Server
BRK3228 – What’s new in SQL Server on Linux and containers
THR2168 – The next generation of SQL Server tools
BRK4021 – Deep dive on SQL Server and big data
THR2171 – Deploying a highly available SQL Server solution in Kubernetes
BRK4017 – Inside SQL Server containers
THR3027 – Machine learning applications in Microsoft Azure Stack
THR2170 – The future of querying big data with Polybase and SQL Server
THR2361 – Data platform transformation in the Microsoft enterprise
Containers
THR3063 – Azure Kubernetes networking 101
BRK2396 – Fundamentals of Kubernetes on Microsoft Azure
BRK3192 – Container DevOps with Microsoft Azure
BRK3208 – Operational best practices for Azure Kubernetes Service
BRK2196 – Architect your app modernization journey with containers on Microsoft Azure
BRK2045 – Fundamentals of Windows containers
Programming and Tools
THR2099 – Visual Studio Code for non .Net developers
BRK3196 – Machine learning with ML.NET
THR2201 – Machine learning using Python in Azure Functions
BRK2384 – Infuse AI into your web applications – AI and JavaScript
BRK2235 – Windows Server 2019 System Insights: Simplified ML
BRK2203 – Visual Studio Code tips and tricks
THR2404 – Azure Data Explorer – Query billions of records in seconds!
THR3140 – Using Visio to bring real-world visualizations to Microsoft Power BI
GS001 – An end-to-end tour of the Microsoft developer platform
Power BI
THR2052 – Microsoft Power BI: End-to-end enterprise data reporting
BRK2218 – Microsoft Power BI Desktop: Data exploration, analysis and storytelling
AI and ML Concepts and Processes
GS009 – Azure AI: Making AI real for your business
THR2174 – AI TechTalk: Anomaly Detection
BRK3068 – Designing workflows in Azure for Artificial Intelligence (AI) scenarios
BRK3187 – Establish the right practices for effective AI
THR2073 – Microsoft Flow: Build a workflow in 10 minutes
Logic Apps, Power Apps, Flow
BRK2028 – Hybrid Integration for the enterprise with Azure Integration Services
THR3104 – Be the scheduler hero with Azure Logic Apps
BRK1068 – PowerApps and Microsoft Flow: Best Practices for managing these two applications
BRK2180 – PowerApps: The top 10 new features that will help you build apps with ease
THR2103 – Microsoft Azure Logic Apps vs. Microsoft Flow: When, how, and where
Azure
BRK3042 – Five Azure services every .NET developer should know
BRK1026 – Getting started with Microsoft Azure and Azure Portal
THR3066 – Lessons learned: Top mistakes that make Azure projects expensive
THR3093 – Introduction to Microsoft Managed Desktop
THR2302 – A tour of Windows Virtual Desktop
THR2101 – Automate all things with Azure Pipelines
BRK2405 – Getting started with Azure IaaS – compute, storage, and networking
BRK2022 – Become more productive with Microsoft Azure – tips and tricks
THR3067 – Top ten ways to secure your Azure environment
Office
THR3017 – Be a data ninja: Best practices for analytics using Microsoft Excel
THR2329 – Design and automate business workflows using Excel, Microsoft Flow, and Visio
BRK3082 – Advanced analytics in Microsoft Excel
BRK2081 – What’s new in Microsoft PowerPoint and Microsoft Word: Unleash your creativity with AI
BRK2122 – What’s new in Microsoft Excel: Machine learning-powered insights
THR1024 – Ten Excel features you’ll wish you’d known earlier
Data Factory
BRK2204 – Azure Data Factory – Enabling modern data integration in the cloud
BRK2279 – Real-world data movement and orchestration patterns using Azure Data Factory V2
Databricks
THR2182 – An Introduction to big data processing with Azure Databricks
BRK3313 – Azure Databricks for data engineers and data developers
BRK3204 – AI with big data: Data science at massive scale with Apache Spark in Azure Databricks
THR2186 – AI TechTalk: A gentle introduction to data science with Spark in Azure Databricks
BRK4024 – Azure Databricks: Deep dive into deployment, networking, and security
IoT
THR1120 – Harnessing the Power of IoT
THR3150 – Develop IoT solutions with the Azure IoT developer toolbox
Do you have a link to the PowerPoint presentation for BRK2292 – AI: What to use, and when?
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