Anywhere Club Podcast

Auteur(s): Anywhere Club
  • Résumé

  • Anywhere Club Podcasts - is a tech podcast whose goal is to help people learn new technologies, find a job, and join a professional tech and IT community 😊
    2023 © Anywhere Club
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Épisodes
  • Coding Interview Questions and Answers - Data Structures & Algorithms
    Dec 19 2024

    In this episode of "Interview Anywhere," we explore data structures and algorithms coding interview questions and answers. This episode will be helpful for beginners as well as for experts with more than four years of experience. Watch as Pratik Jagtap, our candidate, solves coding challenges and handles in-depth questions from our expert interviewer, Saurabh Shekhar.

    NAVIGATION

    00:00 Intro

    01:14 Introduction of participant

    02:31 Theoretical part 1

    02:54 ArrayList vs LinkedList

    05:11 Internal HashMap

    09:23 Quick Sort vs Merge Sort

    11:47 Building a Leaderboard

    15:07 Solving the Leaderboard Problem

    20:11 Optimizing Complexity

    27:39 Implementation and Testing

    34:30 Data Updates

    42:42 Testing and Debugging

    50:21 Reducing and Sorting Maps

    01:00:19 Kadane’s Algorithm

    01:09:07 Handling Negative Values

    1:14:39 Feedback session

    01:16:15 Expert verdict

    01:18:17 Final Thoughts

    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/3Bgk8Mft00E

    🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

    🔸 Spotify: https://bit.ly/awclub-en-spotify

    🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/33

    #engx #mockinterview #dsa

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    1 h et 19 min
  • Unlocking AWS's AI Power: Amazon Q & Bedrock for Developers
    Nov 22 2024

    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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    15 min
  • Why Do Developers Need Product Mindset? / Engineering Excellence
    Oct 24 2024

    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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    32 min

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