Please each event location for specific details on time and streaming options.
Let’s code a drone to follow faces syncing everything with Azure IoT
You can control a drone using 20 lines of code. That’s the easy part. However, adding extra features like face or object detection and program the drone to follow and object or a face requires … another 20 lines of code! During this workshop we will review how to connect to a drone, how to send and receive commands from the drone, how to read the camera video feed and how to apply AI on top of the camera feed to recognize objects or faces. We will use a simple house drone ($100) and Python. And, when we review some enterprise scenarios, we will use Azure IoT to sync the drone information in IoT mode. Let’s build this!
For this session I’ll explain how to create a SDK from zero to control a DJI Tello drone, and the last past will include some examples on how to connect the drone reported information to Azure IoT.
And this is probably the last one my Microsoft MVP room-office (see below), there are some changes in the near future, so let’ rock these 2 sessions !
¿Con ganas de ponerte al día?
En Lemoncode te ofrecemos formación online impartida por profesionales que se baten el cobre en consultoría:
Todo empezó cuando al terminar de correr veo que #LicorcaConf era trending topic en España. Doy un par de likes en Twitter y 10 minutos después estoy en una sala virtual pasando un rato genial con los asistentes del evento. Obviamente, esto dio pie para que un par de días después nos juntáramos nuevamente para hablar de su experiencia.
1 hora después repasamos el escenario del 2020 al momento de adaptarse a la organización de eventos, lo grandes que son los patrocinadores, el compromiso de los ponentes, la agenda y mucho más!
Otro gran episodio con nuevos amigos!
Cristina Sánchez Barreiro es Android Developer @ Plexus || GDG Lead || Women Techmakers Ambassador (LinkedIn)
Cristina Rivas Pampín es Developer at dooingIT || GDG Santiago || WTM Ambassador (LinkedIn)
Daniel Rey Rey es Analista Progamador en Coremain (LinkedIn)
David Gonzalo es Software Developer | Team Lead & Cloud Developer Consultant en Tokiota (LinkedIn)
Juan Carlos Quijano Abad es Microsoft Certified Trainer, Arquitecto de Soluciones en Azure, Consultor independiente en implantación de DevOps (LinkedIn)
Bruno Capuano es Canada Innovation Lead at Avanade and Microsoft AI MVP (LinkedIn)
“Artificial Intelligence and Machine Learning are the new buzzwords in the industry. Microsoft’s vision is to make AI accessible to every enterprise, data scientist, developer, information worker, consumer and device everywhere in the world. AI has a big role to play in the enterprise space. The field of AI is progressing at a rapid pace. Without understanding the concepts behind these advanced technologies, developers and administrators will struggle to evaluate the potential impact of new tools and solutions. In this session, we will break down the concepts behind existing technologies, outline various tools available today, and discuss the direction of AI and ML for Developers. We will cover how developers, Power Users, and Information workers can take advantage of Microsoft’s AI and Cognitive Services offerings to build real-life enterprise solutions.
You will learn: 1) Overview of Microsoft AI Platform 2) What are the cognitive services? 3) What tools are available today? 4) How to use Cognitive Services to implement real-life business solutions?
Understanding Autonomous systems, Machine Teaching and Bonsai Platform
Innovations in AI are creating the next wave of disruption in industrial technology. Autonomous machines are more than an expansion of automated systems: They are an entirely new way to amplify human expertise. In this session you will take a look to how to speed the creation of AI-powered automation to improve production efficiency and reduce downtime – without requiring data scientists with Project Bonsai. We will also take a look at AirSim, a simulator for drones, cars and more, built on Unreal Engine. AirSim a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.
Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly learn from vast amounts of information. It allows organizations to deeply understand and easily explore information, uncover hidden insights, and find relationships and patterns at scale. This platform allows to use machine learning model to address any specific business need. The life cycle of the models can be managed using MLOps. MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models. These two solutions combined can create a strong platform to extract, enrich, and expose any hidden data within any organization. In this session you are going to learn about three main steps in KM platform:
Amazing session yesterday with my friends from ConoSurTech, Fernando, Ivana y Pablo. We had a great session with a high level overview around Azure Machine Learning, as part of the “Diplomado de AI Fundamentals 2020“
Diplomado de AI Fundamentals 2020
El diplomado consiste en clases online dictadas a partir del 20 de Octubre de 2020. Las clases son dictadas los días Martes y Jueves a partir de las 18hrs (GMT-3), junto a entrevistas con líderes de productos y comunidades. El diplomado recorrerá los temas que forman parte de la certificación AI-900 Artificial Intelligence Fundamentals sumado a los últimos lanzamientos realizados por Microsoft en el mes de Septiembre.
So, as usual now is the time to share slides, and links. No Code this time, so you are going to avoid some Copy & Paste.
It was a fast session, with over +100 viewers, and … so many topics to talk ! I prepared a full MLOps pipeline to show, I was planning to code from scratch a Jupyter Notebook, and more … we didn’t have time. This comment resume it all:
Another huge and amazing events from my friends at the @netcoreconf, perfect excuse to talk about python, machine learning, computer vision and more. This one was also tricky, no slides, just code during 50 min so here are some related resources.
Next week we will have the 1st virtual Ignite. I’m lucky enough to participate in a great AI session and while I’m building my agenda, I also realize that we have a Free Certification Voucher program, similar to the one that we had at Build 2020.
Participate in the Microsoft Ignite Cloud Skills Challenge to earn a free Microsoft Certification exam and a chance to win prizes! Choose up to six different challenges to complete on Microsoft Learn. After you’ve completed your first challenge, you’ll earn a free Microsoft Certification exam. For each challenge you complete, you’ll earn five entries into a sweepstakes. One grand prize winner will receive a chance to meet with a Microsoft leader and invite up to four friends.
Microsoft Ignite Cloud Skills Challenge
Another important details is this one
The free certification exam is available for redemption starting October 12, 2020 and is valid until March 31, 2021. If you do not schedule and take your eligible exam within that timeframe, you will not be able to redeem your offer. Additional details and instructions on how to redeem your free certification exam will be available starting October 12, 2020.
Microsoft Ignite Cloud Skills Challenge 2020: Free Certification Exam
So, now you can wait for the certification voucher and choose one exam from the Exams list.