Folgen

  • In this insightful video, Viktor Vedmich, Senior Developer Advocate at AWS, delves into a suite of AWS services meticulously crafted for developers. He provides an in-depth exploration of Amazon Q, a generative AI-powered assistant designed to streamline development workflows. Viktor also introduces Amazon Q for Developers, an extension that offers advanced coding assistance, and Amazon Bedrock, a fully managed service that simplifies the creation and scaling of generative AI applications. This comprehensive guide is essential for developers aiming to leverage AWS's cutting-edge AI tools to enhance productivity and innovation.

    NAVIGATION

    0:00 Start

    0:17 Generative AI

    1:13 What kinds of AI-related services

    does AWS provide for developers?

    3:46 What is Amazon Q?

    8:29 How can we start working with

    Amazon Q Developer?

    9:46 More about

    Amazon Q Developer

    and IDE integration?

    11:28 How can you convince your boss

    that Amazon Q is safe enough

    to use on a project?

    14:00 Final words

    AI IN AWS

    ๐Ÿ”ธ Amazon Bedrock: https://aws.amazon.com/bedrock

    ๐Ÿ”ธ Amazon Q: https://aws.amazon.com/q/

    ๐Ÿ”ธ Amazon Q for Developers: https://aws.amazon.com/q/developer/

    COURSES BY ENGX

    ๐Ÿ‘‰ Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering

    ๐Ÿ‘‰ Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams

    ๐Ÿ‘‰ Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/0kXQHpaVLFM

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/32

    #awclub #engx #ai

  • In this episode, Aleksas Drozdovskis, an Experience Consultant, and Roman Zatitsky, a Product Manager, dive into the idea of "product thinking" from an engineerโ€™s point of view. They chat about how product thinking helps with career growth, influences business decisions, reduces team stress and burnout, and makes engineers more aligned and effective.

    ๐Ÿ”นAleksas Drozdovskis: https://www.linkedin.com/in/drozdovskis/

    ๐Ÿ”นRoman Zatitskiy: https://www.linkedin.com/in/zatitskiyrb/

    NAVIGATION

    00:00 Introduction of Aleksas Drozdovskis

    00:58 What is product mindset

    04:24 Why should i care about discovery and business value

    10:03 Who gets more promotion?

    11:36 How product mindset can decrease the tension between engineers teams and business teams

    14:27 Story about project to product transformation

    17:09 How to cultivate a product-oriented culture in a team

    20:53 How product mindset influence on the impact that engineers have

    24:22 Engineers build features based on discovery that don't get used

    28:57 Sum up

    31:09 Final

    COURSES FROM EPISODE

    ๐Ÿ‘‰ Generative AI for managers: https://aw.club/global/en/courses/gen-ai-for-managers

    ๐Ÿ‘‰ AI adoption workshop for engineering teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop

    ๐Ÿ‘‰ EngX HI: Navigating Team Dynamics: https://aw.club/global/en/courses/navigating-teams-dynamics

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/R9hKz5pJEwk

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: 'simplecast episode link placeholder'

    #awclub #engx #productthinking

  • Fehlende Folgen?

    Hier klicken, um den Feed zu aktualisieren.

  • ๐Ÿ‘‰ Course: "AI-supported software engineering": https://epa.ms/ai-swe

    ๐Ÿ‘‰ Course: "AI-Supported Testing": https://epa.ms/ai-aqa

    ๐Ÿ‘‰ Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

    ๐Ÿ‘‰ Join the EngX: https://epa.ms/engx-club

    How AI is Revolutionizing Cancer Research and Treatment? In this episode of the ZuriAI podcast, we explore how AI is transforming the prediction, diagnosis, and treatment of cancer. Artem Shmatko, a doctoral student and ML researcher at the German Cancer Research Center, explains AIโ€™s growing influence in oncology.

    We discuss:

    What cancer is and why itโ€™s challenging to prevent and diagnose

    How AI is impacting drug discovery

    Medical data aspects and limitations

    The role of computer vision in histopathology

    Challenges related to data management and patient privacy

    NAVIGATION

    0:00 Start

    0:43 EngX

    1:20 Meet our expert, Artem Shmatko

    1:49 What is cancer? Complexity and diversity of cancers.

    6:52 Why is it so difficult? Challenges of preventing cancer

    10:17 How AI is becoming a pivotal tool in cancer prevention and treatment strategies.

    12:40 MRI as a prevention technique.

    14:38 The role of AI as a decision-support system in clinical settings.

    22:01 AI in drug discovery. Transforming cancer treatment pipelines.

    26:42 AI-powered recommendation systems for defining focus groups in clinical trials.

    28:14 The complexities of data ingestion and collection in cancer research.

    30:39 Handling patient-sensitive data: The ethical and technical challenges.

    34:13 Certification and regulation in AI-driven oncology.

    36:24 How computer vision and histopathology diagnostics are being redefined by AI.

    38:27 The importance of image size and resolution in cancer diagnostics.

    41:44 Discussing the potential of 100k*100k pixel resolution in medical imaging.

    43:05 The technical limitations in cancer detection using computer vision.

    46:03 Multiple instance learning

    49:27 Data challenges in AI-driven oncology.

    53:35 The role of open-source platforms in advancing medical AI.

    57:26 Forecasting the impact of AI on the future of cancer prevention and diagnostics.

    1:00:35 What industry challenges can AI overcome in oncology?

    LINKS FROM THE EPISODE

    ๐Ÿ”น AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM

    ๐Ÿ”น What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer

    ๐Ÿ”น Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/

    ๐Ÿ”น AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4

    ๐Ÿ”น On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942

    ๐Ÿ”น Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757

    ๐Ÿ”น Automating drug discovery: https://doi.org/10.1038/nrd.2017.232

    ๐Ÿ”นAI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4

    ๐Ÿ”น Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3

    ๐Ÿ”น https://www.nature.com/articles/s41586-024-07441-w

    ๐Ÿ”น Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/XreqENCkpqE

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/30

    #awclub #engx #ai #oncology

  • ๐Ÿ‘‰ Join the: https://epa.ms/engx-club

    ๐Ÿ‘‰ Course: "AI-supported software engineering": https://epa.ms/ai-swe

    ๐Ÿ‘‰ Course: "AI-Supported Testing": https://epa.ms/ai-aqa

    ๐Ÿ‘‰ Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

    Check out this episode where a JavaScript Frontend Engineer goes through a job interview. Join us as Shakhzod Khodjaev, our candidate, faces some programming challenges and answers questions from our interviewer, Viktor Soroka.

    At the end, both the interviewer and interviewee share their honest thoughts about how it all went. Theyโ€™ll talk about areas that could be improved and point out some helpful resources suggested by our EngX community leader, Roman Zatitskii, like "AI-supported Software Engineering" and "AI-supported Testing," to boost your AI knowledge.

    This episode is a great way to see a technical interview in actionโ€”donโ€™t miss it!

    NAVIGATION

    00:00 Intro

    01:55 Introduction of participant

    03:01 Theoretical part 1

    43:17 Practical task: Event Loop

    48:25 Theoretical part 2

    52:20 AI prompt engineering

    56:44 ENGX courses announcement

    59:36 Critical thinking task

    1:22:30 GenAI adoption program for engineering teams

    1:24:20 Feedback session

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/-5XD9OH4w-4

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/29

    #awclub #engx #mockinterview

  • Unlock the key to better collaboration between Product Managers and Developers. Learn the importance of Product Discovery, how AI can boost it, and quick tips to validate ideas. Get actionable insights to become a more product-focused developer!

    NAVIGATION

    0:00 Start

    0:53 What common misconceptions might developers have about this role?

    1:45 How does thinking in terms of value help bridge the gap between Product Managers and Tech Teams?

    2:38 Can you give concrete examples of misconceptions?

    3:08 What is Product Discovery, and why is it crucial to perform it alongside product delivery?

    4:16 How can developers benefit from understanding this process?

    5:08 Why is Product Discovery so important?

    6:30 Why should Product Discovery be done using AI?

    7:32 How can developers help test product ideas without fully building them? What techniques are used to validate hypotheses effectively?

    9:03 What are the best practices for Product Managers and development teams to communicate and collaborate effectively?

    10:13 How can a developer be more product-focused?

    11:05 How to practice?

    COURSES BY ENGX

    ๐Ÿ‘‰ AI-supported Software Engineering: https://epa.ms/106cIb

    ๐Ÿ‘‰ Prompt Engineering Foundations: https://epa.ms/ZQNYn

    ๐Ÿ‘‰ AI Supported testing: https://epa.ms/1DjKEP

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/b6Xla-jjoyE

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/28

    #awclub #engx #productmanagement

  • ๐Ÿ‘‰ Get Access to the Anywhere Club: https://bit.ly/awclub-en

    Welcome to our new podcast "ZuriAI": where together with our host Zura Seferbekova we are diving deep into the world of AI across industries! In the first episode, we'll be exploring the synergy between AI and music.

    Did you know Mozart dabbled in primitive AI in some of his performances? We delve into the intersection of AI and creativity, examining how generative music challenges our perception of what art is. We delve into how recording technology and pioneering AI applications are reshaping music, exploring AI's impact on emotional connections and immersive musical experiences, while reflecting on the evolution sparked by past technological breakthroughs.

    NAVIGATION

    00:00 - Mozart case, musical dice description

    01:17 - aw.club

    02:00 - Topic and guest introduction

    02:25 - Whatโ€™s music, should music be repetitive?

    05:19 - How music is described and analyzed?

    06:48 - 1st approach: Top-down

    07:10 - 2nd approach: Recording - Bottom-up approach

    10:24 - Comparison of 2 models trained based on different approaches

    16:24 - How music changed after recording?

    24:08 - First application of AI in Music

    29:52 - How does Shazam work

    34:07 - How to differentiate AI music?

    40:05 - Suno.ai and other apps

    43:01 - Functional sound: Music for sleep or concentration

    44:39 - Guess Endel mode sound

    45:05 - Emotional connection to music

    52:16 - Future of open source in music

    55:01 - Agent AI musicians and stamps extraction

    1:00:02 - Autotune analogy

    1:06:52 - Future of the music industry

    1:12:49 - 3 AI tools for musicians

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/KRJV-1Y61SM

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/zap-1

    LINKS FROM THE EPISODE

    ๐Ÿ”น Des Hristov: https://www.linkedin.com/in/desislav-hristov

    ๐Ÿ”น Background audio track from Endel: https://endel.io

    ๐Ÿ”น AI generated Mathcore: https://twitter.com/ezrasandzer/status/1761278728523382964

    ๐Ÿ”น Drake: https://www.youtube.com/watch?v=YWORhOr2PoE

    ๐Ÿ”น @andrewhuang: https://www.youtube.com/watch?v=tR32h5jhPtU

    ๐Ÿ”น Lalala - stem separation: https://www.lalal.ai/

    ๐Ÿ”น MusicLM: Generating Music From Text: https://google-research.github.io/seanet/musiclm/examples/

    ๐Ÿ”น Google AI test kitchen link + dataset: https://aitestkitchen.withgoogle.com/

    ๐Ÿ”น https://www.kaggle.com/datasets/googleai/musiccaps

    ๐Ÿ”น Goyo: https://goyo.app/

    ANYWHERE CLUB ON THE INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

    #awclub #ai #music

  • This week in AI news: the Open Interpreter Project has unveiled their new O1 Light device, which allows users to control their computers through an AI assistant. The company is known for creating the largest open-source project for running various LLMs locally. Apple researchers have introduced "ReALM," a new AI system capable of understanding screen tasks, conversation context, and background processes, potentially surpassing GPT-3.5 and even GPT-4. Meanwhile, OpenAI has presented a preliminary version of Voice Engine, a model that can clone human voices from a 15-second audio sample and generate natural speech, preserving the original speaker's accent and emotions.

    This episode was made by Anywhere Club blog article: https://aw.club/global/en/blog/first-open-source-ai-device-ai-digest-18. Join the tech conversation at https://aw.club, become a member, and stay informed!

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/w1SofIuqK7Q

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-3

    ANYWHERE CLUB ON THE INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ AI Catalog: https://awclub.github.io/catalog/

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

    #awclub #anywhereclub #mhlp

  • Get ready for a mind-blowing AI update! This week NVIDIA unveiled its monstrous new AI superchip, Midjourney dropped a game-changing feature for consistent characters, and Apple made a huge move to bring advanced AI directly to your iPhone. We're breaking down all the big announcements from NVIDIA's GTC 2024, Midjourney's latest upgrade, and what Apple's secret acquisition could mean for your future tech. Buckle up โ€“ the future of AI is happening NOW!

    This episode was made by Anywhere Club blog article: https://aw.club/global/en/blog/nvidia-s-gtc-2024-midjourney-s-new-trick. Join the tech conversation at https://aw.club, become a member, and stay informed!

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/hUdtR7AEHos

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-2

    ANYWHERE CLUB ON THE INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ AI Catalog: https://awclub.github.io/catalog/

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

  • Dive deeper into the world of AI with our new podcast! This pilot episode explores the Inflection 2.5 model's potential, the OpenAI leadership shakeup, and the terrifying possibilities of weaponized drones.

    We base our discussion on the insightful Anywhere Club article: https://aw.club/global/en/blog/new-competitor-for-gpt-4-and-stalker-drones. Join the tech conversation at https://aw.club, become a member, and stay informed!

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/iF68Lt0foms

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/ainr-0

    LINKS FROM THE EPISODE

    ๐Ÿ”น Inflection-2.5: https://inflection.ai/inflection-2-5

    ๐Ÿ”น AI Drones: https://twitter.com/luiswenus/status/1763979699045253359

    ANYWHERE CLUB ON THE INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ AI Catalog: https://awclub.github.io/catalog/

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

    #awclub #anywhereclub #aipodcast

  • ๐Ÿ‘‰ Get Access to the Anywhere Club: https://bit.ly/awclub-en

    Hear from Data Science, Computer Vision and AI Champion Zura Seferbekova for a deep-dive into the misconceptions, challenges and often untrue assumptions about AI. Zura reminds our host, Chris Howard, that AI tooling remains built on complex mathematical models and probability matrices, and shares her thoughts on the role of regulation and community in building responsible AI tools for the future.

    NAVIGATION

    00:00 Introduction

    01:48 Setting the Scene on AI's Challenges & Myths

    09:40 A Human Perception of AI

    10:39 Explainability in AI

    15:17 Is a Fully open-sourced AI the Future?

    21:14 AI - Is it Enhancing or Eliminating IT roles?

    29:01 A Summary of AI

    29:57 Wrap-up

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/bxLFHRcWBjc

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/22

    LINKS FROM THE EPISODE

    ๐Ÿ”น Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/

    ANYWHERE CLUB ON INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

  • ๐Ÿ‘‰ Be part of Anywhere Club: https://bit.ly/awclub-en

    In this interview, we hear from Vitalii Vashchuk, Head of Gaming Solutions at EPAM talking about the very latest tech, solutions, and infrastructure involved in gaming at scale and the role of communities. Vitalii shares fantastic insights into how you too can get started with a career in gaming; and what skills, languages, and competencies are in demand. Chris Howard, Community Host, also has the chance to grill Vitalii on his favorite Fortnite skin and what super-power he'd take advantage of when playing online.

    LINKS FROM THE EPISODE

    ๐Ÿ”นVitalii's LinkedIn: https://www.linkedin.com/in/vashchukvitalii

    NAVIGATION

    00:00 Introduction

    02:12 Vitalii's Career Journey

    03:40 Groundbreaking Projects & Milestones

    06:30 What is the role "Head of Gaming Solutions"?

    09:35 Fornite - Gaming at Scale

    12:35 Community Building through Gaming

    13:48 Skills & Competencies for a Career in Gaming

    15:53 Programming Languages

    18:22 Soft Skills for Technologists

    20:52 AI, Emerging Tech & Gaming

    23:35 The Rise of eSports

    25:49 Future Trends in Gaming Solutions

    29:55 Quick-Fire Round

    32:00 Wrap-up

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/wycZDewUi-8

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/21

    ANYWHERE CLUB ON INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

    #awclub #gaming #tech

  • ๐Ÿ‘‰ Get Access to the Anywhere Club: https://bit.ly/awclub-en

    In this episode Chris Howard is joined by data science and computer vision expert Zura Seferbekova for an in din-depthepth interview into her professional journey, recommendations for those starting out in the field and a few tips on tooling.

    Zura has a background in Business Analysis and Product Management, with over 6 years of commitment to various Machine Learning projects, focusing specifically on computer vision and recommendation systems. She also shares her own expertise to give an overview of machine learning as well as how advances in AI are furthering the field of data science.

    NAVIGATION

    00:00 Introduction & Welcome by Chris Howard

    01:20 Zura's Background

    01:52 Career Pathway into Data Science

    05:21 Data Science Tooling & Skills

    09:37 Introduction to Computer Vision

    17:40 Classical vs Generative Machine Learning

    24:23 Advances & Applications of AI

    31:40 Final Thoughts

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/52SrhF_-ok0

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/20

    LINKS FROM THE EPISODE

    ๐Ÿ”น Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/

    ANYWHERE CLUB ON INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

  • Ujjwal Sharma is a Compilers Hacker at Igalia. He is also working on TC39 standardization committee for Javascript, V8, a Node.js Core. Collaborator, a TC39 Delegate and an International Speaker.

    Originally Ujjwal is from India where he studied computer science at Jaypee Institute of Information Technology, Noida. He will share his experience and knowledge about starting career in tech and tell his own story of becoming a software developer

  • Ujjwal sharma is a Compilers Hacker at Igalia. He is also working on TC39 standardization committee for Javascript, V8, a Node.js Core. Collaborator, a TC39 Delegate and an International Speaker.

    Originally Ujjwal is from India where he studied computer science at Jaypee Institute of Information Technology, Noida. He now lives in Spain, but has a lot of interesting things to say about IT in India.

  • ๐Ÿ‘‰ Join the Anywhere Club: https://bit.ly/awclub-en

    ๐Ÿ‘‰ EPAM Anywhere here: https://epa.ms/ELHSW

    In this episode, sit back and watch a JavaScript Frontend engineer undertake a job interview! Listen in to see how our candidate Aliaksei Deboi gets stuck into answering questions, demonstrates his coding expertise through a coding challenge, and gains great insight into how he works through the interview questions from our interviewer Viktor Soroka. Covered in this episode, Aliaksei answers questions from a real interview and writes a program to find special strings called "palindromes" with each step explained as he writes the code, making it easy for you to follow along.

    Toward the end of the session, both our interviewer and interviewee share their honest thoughts on how the interview went, including areas they feel could have been elaborated on, there's also a recommendation from our Anywhere Club community leader, Chris Howard, on good interview practice. Watching this episode is a fantastic opportunity to see how a technical job interview works, so do not miss out!

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/KM4J5XuXUzE

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/17

    NAVIGATION

    0:00 - Teaser

    0:32 - Opener

    3:14 - Interview Agenda

    7:05 - Hard Skills interview

    36:13 - Soft Skills interview

    44:47 - Coding task

    55:57 Feedback session

    58:23 - Interview feedback from the Interviewer

    1:01:41 - Closer

    ANYWHERE CLUB ON WEB

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

  • Douglas Crockford — author of JSON data format and Javascript legend — speaks about his new programming language, which should replace Javascript.

    He also explains why we should stop using javascript and move on with something new, recalls best moments of his career and shares his thoughts on all the modern AI hype

  • Our guest today is David Nazaryan

    He is a senior software engineer in EPAM Armenia. He lives in Yerevan and has almost 8 years of experience in IT at the age of 24. And it’s not something extraordinary for the Armenian industry because a lot of people start their career at a very young age.

    We will discuss how they manage to do so and many many more things about IT in Armenia

  • Our guest is Shavkat Karimov, Head of the IT Community of Uzbekistan.

    Long time ago Shavkat started his path as a writer and filmmaker. He tried to make his career in Hollywood and even got some success — but it was not enough to move on. So he switched to IT long before it became mainstream.

    He started as an SEO specialist and made a great career in this field. For example Shavkat was Head of SEO and Principal manager in Microsoft at its headquarters in Redmond.

    For 25 years Shavkat lived outside of Uzbekistan — in the USA and Canada — and finally came back to his homeland. Now he is a speaker, investor, mentor and an inspirational figure for young generation of Uzbek IT community

  • ๐Ÿ‘‰ Be a part of the Anywhere Club: https://bit.ly/awclub-en

    This episode discusses the nuances of the Developer Relations field, the importance of "DevRel" as a career, and the challenges of communicating complex technical topics. Chris Howard, along with guest Evgeny Borisov, Head of DeveloperRelations at EPAM, deeply analyzed the industry's development prospects and tried to anticipate upcoming trends.

    Enjoy your viewing, dear friends!๐Ÿ˜Š

    WHERE TO WATCH US AND LISTEN

    ๐Ÿ”ธ YouTube: https://youtu.be/FfZnXXqNCm4

    ๐Ÿ”ธ Google Podcasts: https://bit.ly/awclub-en-google

    ๐Ÿ”ธ Apple Podcasts: https://bit.ly/awclub-en-apple

    ๐Ÿ”ธ Spotify: https://bit.ly/awclub-en-spotify

    ๐Ÿ”ธ Download mp3: https://anywhereclub.simplecast.com/episodes/

    NAVIGATION

    00:00 Introduction and welcome by Chris Howard

    01:15 Evgeny Borisov background and journey in IT

    02:54 Evgeny's association with EPAM

    03:33 Introduction to Developer Relations

    06:37 What is Developer Relations

    12:30 Roles in Developer Relations

    17:05 Important skills

    19:35 What languages do you need to know as a DevRel specialist

    23:40 What Eugene is proud of

    26:55 How to communicate with developers

    42:15 How to get into DevRel

    44:10 About coaching

    46:45 Final thougths

    ANYWHERE CLUB ON INTERNET

    ๐Ÿ”ธ Web: https://bit.ly/awclub-en

    ๐Ÿ”ธ Discord: https://epa.ms/acd

    ๐Ÿ”ธ Instagram: https://instagram.com/anywhere_club

    #awclub #anywhereclub #devrel