Megatrend: Serverless and Machine Learning Build an application with google assistant and Cloud functions Build a social wall completely Serverless with Firebase and GCP Serverless machine learning at DYNO
Frontend Development vs Backend Development is a topic worth discussing. These two are equally important for web development. Know the advantages and differences between these web development modules.
Islam Magdy is a certified Google Project Engineer seeking a position where he can utilize his 5 years of experience as a Java developer and web developer specializing in PHP and Laravel. He has worked in technical management and backend development roles for several companies and as a freelancer, and has completed many client projects. His skills include PHP, Laravel, Java, Python, JavaScript, HTML, CSS, software development processes, and he has developed several web and mobile applications.
This is the presentation I gave to the Drupal4Gov community on web components in government. Why the time is right to begin looking at them for future adoption, how to get more information, what they've done for our team and process, who's using them, etc. It's a great starting point to browse through and get a sense of who's using them and what the implications are.
This document outlines an agenda for a workshop on building a game with JavaScript. The agenda includes introducing key JavaScript concepts like variables, functions, if/else statements, and parameters. It also covers setting up a project on Glitch and reviewing answers. The document encourages participants to not treat it as a drill and to take advantage of support. It promotes continuing to learn on Thinkful, which offers 1-on-1 mentorship and project-based learning to help people become developers.
A full-stack developer is someone who can take a project from conception to a finished product, handling both front-end and back-end development. They have a wide range of skills across the stack rather than deep expertise in one area. Full-stack developers are well-suited for small startups but may face more scaling challenges in larger companies with more specialized roles. The document discusses technologies used in full-stack development and tips for learning new skills like contributing to open source projects.
Slide da palestra realizado na primeira edição do meetup de serverless. Mostrando como é fácil e prático criar uma aplicação utilizando a arquitetura serverless na AWS.
Considering how popular APIs are these days, it’s frustrating to run into a service or site without one. But, it’s actually quite common. If you need to collect data or perform an action on the web without access to an API, there are a couple ways you can hack it using OutSystems.
Presented at 3|SHARE's EVOLVE'15 - The Adobe Experience Manager Community Summit on August 19th, 2015 at the Hard Rock Hotel in San Diego, CA. http://evolve.3sharecorp.com
Firebase is a great platform that gives a suite of tools with which you can easily create and manage your app’s backend, and concentrate on developing a marvelous frontend. This is where Angular steps in: it helps you build your app in component-based architecture, and provides solutions for various client-side aspects. The combination of the two gives a powerful connection between the application and the database. In this lecture I’ll show how to implement common use-cases of users and data management by leveraging Firebase’s and Angular’s strengths: realtime synchronization, OAuth and more.
This document provides an introduction and background information about an individual. It lists their name, job titles, social media handles, websites, areas of interest, and skills. It also includes several links to resources about AWS CodeDeploy for automatically deploying applications from GitHub.
The document discusses how to use Google Website Optimizer to optimize an ecommerce website built with Magento. It provides step-by-step instructions for setting up an experiment using Google Website Optimizer, including creating an account, writing a conversion plan, configuring the Magento API, setting up a multi-experiment, creating variations, and reviewing reports to identify the best performing page elements. The goal is to listen to website visitors and increase conversions by testing different page titles, images, and body text.
Presented at 3|SHARE's EVOLVE'15 - The Adobe Experience Manager Community Summit on August 18th, 2015 at the Hard Rock Hotel in San Diego, CA. http://evolve.3sharecorp.com
The document outlines an agenda for a workshop to teach attendees how to build their own website using HTML and CSS, with sections covering key concepts of HTML and CSS, working through starter code, building a site with support from instructors and TAs, and next steps for continuing to learn web development. The workshop is led by Michael Cruz, a software engineer at ZBrains, and is intended to help attendees become developers through project-based learning and mentorship, similar to the approach used by Thinkful.
This document summarizes the transition of the Elo7 Marketplace website from its past state to its current state. Previously, the website lacked mobile support, had slow pages, no SEO optimization, many unnecessary plugins, and no communication between teams. Now, the website has mobile support, optimized pages, SEO optimization, only necessary plugins, and good communication between teams. These improvements have led to a 50% increase in click rate. The document emphasizes the importance of integration across marketing, design, and IT teams.
Kishan Bhakta is a front-end engineer with skills in JavaScript, AngularJS, Node.js, Express, MongoDB, CSS, HTML, and jQuery. He has worked as a front-end engineering teacher assistant at The Iron Yard and as a software developer at Emory University. He is currently looking for new opportunities as he was previously a student in The Iron Yard's front-end engineering program and served for 6 years in the United States Army as a combat medic and squad leader.
This document summarizes a presentation about building mobile app backends with Google Cloud Platform. It discusses two approaches: "API-first" backend development using Google Cloud Endpoints to expose server-side logic through REST APIs, and a "frontend-first" approach using Firebase to store and sync data between clients offline. It provides examples of mobile apps using these services and demonstrates a real-time drawing app built with Firebase.
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
1.5-hr tech talk introducing Machine Learning and the GCP ML APIs and other Google Cloud developer tools.
These slides are made for the 2013 DevFest talks. It covers the main blocks of Google cloud platform: App engine, Compute Engine, storage options and more.
#MBLTdev: Конференция мобильных разработчиков Спикер: Дмитрий Нефедкин Пресейл инженер, Google http://mbltdev.ru/
While the adoption of machine learning and deep learning techniques continue to grow, many organizations find it difficult to actually deploy these sophisticated models into production. It is common to see data scientists build powerful models, yet these models are not deployed because of the complexity of the technology used or lack of understanding related to the process of pushing these models into production. As part of this talk, I will review several deployment design patterns for both real-time and batch use cases. I’ll show how these models can be deployed as scalable, distributed deployments within the cloud, scaled across hadoop clusters, as APIs, and deployed within streaming analytics pipelines. I will also touch on topics related to security, end-to-end governance, pitfalls, challenges, and useful tools across a variety of platforms. This presentation will involve demos and sample code for the the deployment design patterns.
Presented at All Things Open 2018 Presented by Dan Zaratsian with Hortonworks 10/22/18 - 3:15 PM - Big Data Track
The machine learning allows your application gets smarter and smarter over the time. It can predict more accurately, identify purposes more precisely and it keeps learning by itself. Read more @ www.techconnect.io by Marvin, Heng Twitter: @hmheng Blog: www.techconnect.io #artificialintelligence #ai #MachineLearning
Introduction to Google Cloud Platform - Quick introduction to the basics of cloud computing. - Cloud Models - GCP Services - GCP Compute - GCP Storage - Google Cloud Skills Boost
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud! The other version of this talk ("B") focuses more on serverless platforms.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2Gtedjh. Szczepan Faber talks about two different use cases of implementing continuous delivery at scale: LinkedIn and Mockito. Yet the challenges, benefits and impact on the engineering culture are very similar. Filmed at qconsf.com. Szczepan Faber is a Tech Lead for LinkedIn Development Tools, responsible for developer productivity at LinkedIn. Previously, he was core engineer of Gradle 1.x and 2.x. and instructed numerous classes on build automation. He created Mockito framework in 2007, currently estimated user base of 2M, and has been giving classes on automated testing since.
Increase the speed and quality of your development. Some tools and practices to integrate the design part into development cycle. Hands-on experience, pitfalls and dealing with late-adopters
Learn how continuous deployment can improve your organization's productivity. Learn about challenges, differences and similarities of CD at LinkedIn (large scale enterprise) and Mockito (OSS software library with huge user base). More details: http://bit.do/qcon-cd-abstract Google slides: http://bit.do/qcon-cd-gslides Presentation abstract as in QCon session catalog: LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar. In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production 3 times a day, with a 3 hour maximum time from commit to production. At LinkedIn scale - hundreds of engineers building products for 500M users - implementing 3x3 was really hard. How did 3x3 change LinkedIn engineering culture and what we have learned on the way? Mockito is a top 3 Java library with ~2M users. Even with that large user base, since 2014, the Mockito project has taken the surprising approach of publishing a new version of the library from every single pull request. This approach is challenging and innovative in the Java community, and Mockito leverages Shipkit to ship every change to production. Why did the Mockito team adopt continuous delivery in 2014 and what we have learned to date? Join and learn from Szczepan Faber, the maker of Mockito framework since 2007, and the tech lead of LinkedIn Development Tools since 2015.
This document discusses using data analytics for mobile app development. It recommends analyzing user behavior and interests through metrics like users, sessions, and events to improve the user experience and inform business decisions. The document provides an example of a mobile advertising app that tracked user taps and social sharing to generate analytics and integrate with Facebook data. It advocates keeping analytics implementations simple while designing architectures that can handle large volumes of data.
This document discusses using data analytics for mobile app development. It recommends analyzing user behavior and interests through metrics to improve products and discover insights. The author provides examples from their work using analytics platforms and social data integration to track user events and interactions for various apps and businesses. Lessons focus on keeping analytics implementations simple while addressing the right questions and turning data into actionable insights.
- UX analytics can help companies turn their user data into real products by discovering user interests in real-time. - Mobile analytics is important because mobile devices are becoming the dominant way users access the web, and big data and analytics are major trends. - Core KPIs for mobile analytics include users, sessions, events, and other metrics to understand user behavior and how to engage app users.
Agile Network India - Pune Title: Prompt Engineering and AI first SDLC by Abhijit Shah Date: July 2023 Hosted by:Iauro
This document summarizes Django on App Engine, Google's platform that allows developers to build and host web applications in the cloud. It describes App Engine's core features like automatic scaling, pay-as-you-go pricing, and access to Google's infrastructure and APIs. The document also highlights how Django, a popular Python web framework, can be used to develop applications on App Engine for its rapid development capabilities, powerful templates, and security features. Real-world examples of applications built by Potato using these technologies are also provided.
The document discusses Google App Engine and Google Cloud Platform. It provides an overview of App Engine's capabilities including easy scaling, high availability, and reduced need for system administration. It also introduces several Google Cloud services like Compute Engine, Cloud Storage, Cloud SQL, Cloud Datastore, and others. It highlights how App Engine can be used to build mobile backends and discusses popular use cases. Overall it promotes App Engine and Google Cloud Platform for developing and hosting scalable web and mobile applications.
We’ll take you through the most cutting-edge scenarios our team has been working on over the last year, including applying machine learning to geospatial data, real-world use cases for immersive environments, photogrammetry, and more.
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states. In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing. Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
accommodate the strengths, weaknesses, threats and opportunities of autonomous vehicles
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models. This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through: - Standard ways of running dbt (and when to utilize other methods) - How Cosmos can be used to run and visualize your dbt projects in Airflow - Common challenges and how to address them, including performance, dependency conflicts, and more - How running dbt projects in Airflow helps with cost optimization Webinar given on 9 July 2024
How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner! We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too! Check out our proposed agenda below 👇👇 08:30 ☕ Welcome coffee (30') 09:00 Opening note/ Intro to UiPath Community (10') Cristina Vidu, Global Manager, Marketing Community @UiPath Dawid Kot, Digital Transformation Lead @Proservartner 09:10 Cloud migration - Proservartner & DOVISTA case study (30') Marcin Drozdowski, Automation CoE Manager @DOVISTA Pawel Kamiński, RPA developer @DOVISTA Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 09:40 From bottlenecks to breakthroughs: Citizen Development in action (25') Pawel Poplawski, Director, Improvement and Automation @McCormick & Company Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company 10:05 Next-level bots: API integration in UiPath Studio (30') Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 10:35 ☕ Coffee Break (15') 10:50 Document Understanding with my RPA Companion (45') Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath 11:35 Power up your Robots: GenAI and GPT in REFramework (45') Krzysztof Karaszewski, Global RPA Product Manager 12:20 🍕 Lunch Break (1hr) 13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30') Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance 13:50 Communications Mining - focus on AI capabilities (30') Thomasz Wierzbicki, Business Analyst @Office Samurai 14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries: 1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes. 2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions. 3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines. 4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors. 5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering. 6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands. 7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems. 8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering. 9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively. Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
This is a slide deck that showcases the updates in Microsoft Copilot for May 2024
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.