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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
🔸 Amazon Bedrock: https://aws.amazon.com/bedrock
🔸 Amazon Q: https://aws.amazon.com/q/
🔸 Amazon Q for Developers: https://aws.amazon.com/q/developer/
COURSES BY ENGX
👉 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
👉 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
👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/0kXQHpaVLFM
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/32
#awclub #engx #ai
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In this episode, Aleksas Drozdovskis, an Experience Consultant, and Roman Zatitsky, a Product Manager, dive into the idea of "product thinking" from an engineer’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.
🔹Aleksas Drozdovskis: https://www.linkedin.com/in/drozdovskis/
🔹Roman 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
👉 Generative AI for managers: https://aw.club/global/en/courses/gen-ai-for-managers
👉 AI adoption workshop for engineering teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop
👉 EngX HI: Navigating Team Dynamics: https://aw.club/global/en/courses/navigating-teams-dynamics
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/R9hKz5pJEwk
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: 'simplecast episode link placeholder'
#awclub #engx #productthinking
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Eksik bölüm mü var?
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👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe
👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa
👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef
👉 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 AI’s growing influence in oncology.
We discuss:
What cancer is and why it’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
🔹 AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM
🔹 What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer
🔹 Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/
🔹 AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4
🔹 On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942
🔹 Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757
🔹 Automating drug discovery: https://doi.org/10.1038/nrd.2017.232
🔹AI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4
🔹 Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3
🔹 https://www.nature.com/articles/s41586-024-07441-w
🔹 Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/XreqENCkpqE
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/30
#awclub #engx #ai #oncology
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👉 Join the: https://epa.ms/engx-club
👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe
👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa
👉 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. They’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 action—don’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
🔸 YouTube: https://youtu.be/-5XD9OH4w-4
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/29
#awclub #engx #mockinterview
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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
👉 AI-supported Software Engineering: https://epa.ms/106cIb
👉 Prompt Engineering Foundations: https://epa.ms/ZQNYn
👉 AI Supported testing: https://epa.ms/1DjKEP
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/b6Xla-jjoyE
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/28
#awclub #engx #productmanagement
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👉 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 - What’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
🔸 YouTube: https://youtu.be/KRJV-1Y61SM
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/zap-1
LINKS FROM THE EPISODE
🔹 Des Hristov: https://www.linkedin.com/in/desislav-hristov
🔹 Background audio track from Endel: https://endel.io
🔹 AI generated Mathcore: https://twitter.com/ezrasandzer/status/1761278728523382964
🔹 Drake: https://www.youtube.com/watch?v=YWORhOr2PoE
🔹 @andrewhuang: https://www.youtube.com/watch?v=tR32h5jhPtU
🔹 Lalala - stem separation: https://www.lalal.ai/
🔹 MusicLM: Generating Music From Text: https://google-research.github.io/seanet/musiclm/examples/
🔹 Google AI test kitchen link + dataset: https://aitestkitchen.withgoogle.com/
🔹 https://www.kaggle.com/datasets/googleai/musiccaps
🔹 Goyo: https://goyo.app/
ANYWHERE CLUB ON THE INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
#awclub #ai #music
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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
🔸 YouTube: https://youtu.be/w1SofIuqK7Q
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-3
ANYWHERE CLUB ON THE INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 AI Catalog: https://awclub.github.io/catalog/
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
#awclub #anywhereclub #mhlp
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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 – 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
🔸 YouTube: https://youtu.be/hUdtR7AEHos
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-2
ANYWHERE CLUB ON THE INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 AI Catalog: https://awclub.github.io/catalog/
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
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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
🔸 YouTube: https://youtu.be/iF68Lt0foms
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/ainr-0
LINKS FROM THE EPISODE
🔹 Inflection-2.5: https://inflection.ai/inflection-2-5
🔹 AI Drones: https://twitter.com/luiswenus/status/1763979699045253359
ANYWHERE CLUB ON THE INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 AI Catalog: https://awclub.github.io/catalog/
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
#awclub #anywhereclub #aipodcast
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👉 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
🔸 YouTube: https://youtu.be/bxLFHRcWBjc
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/22
LINKS FROM THE EPISODE
🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/
ANYWHERE CLUB ON INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
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👉 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
🔹Vitalii'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
🔸 YouTube: https://youtu.be/wycZDewUi-8
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/21
ANYWHERE CLUB ON INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
#awclub #gaming #tech
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👉 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
🔸 YouTube: https://youtu.be/52SrhF_-ok0
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/20
LINKS FROM THE EPISODE
🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/
ANYWHERE CLUB ON INTERNET
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
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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. -
👉 Join the Anywhere Club: https://bit.ly/awclub-en
👉 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
🔸 YouTube: https://youtu.be/KM4J5XuXUzE
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 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
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
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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 -
👉 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!😊
WHERE TO WATCH US AND LISTEN
🔸 YouTube: https://youtu.be/FfZnXXqNCm4
🔸 Google Podcasts: https://bit.ly/awclub-en-google
🔸 Apple Podcasts: https://bit.ly/awclub-en-apple
🔸 Spotify: https://bit.ly/awclub-en-spotify
🔸 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
🔸 Web: https://bit.ly/awclub-en
🔸 Discord: https://epa.ms/acd
🔸 Instagram: https://instagram.com/anywhere_club
#awclub #anywhereclub #devrel
- Daha fazla göster
