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Join me as I dive into another AWS platform architecture for Gen AI, specifically designed for an enhanced job search experience! I'll share my thoughts as an engineer on how this innovative setup works, featuring Bedrock, Gen AI, ECS, and EC2. Curious about the tech behind it and my take on its strengths and improvements? Watch now and let me know your thoughts in the comments! Find the link to the original video in the description below👇 #dataengineer #dataengineering #datascience #aws #awsarchitecture #genai #generativeai #jobsearchengine #reactionvideo +++++ ▶︎ Watch the AWS video: • Health eCareers: Using Generative AI to re... ▶︎Link to my Architecture Review Playlist on Youtube: • Data Platform Architecture Reviews ►Learn Data Engineering with my DATA ENGINEERING ACADEMY: https://bit.ly/3R13ao0 ►Follow me on LinkedIn for your DAILY DOSE of Data Engineering: / andreas-kretz ►Data Engineering SKILLS & TOOLS GUIDE: -Get insight into skills and tools engineers use to build platforms & pipelines. Including example projects you can start with today! https://hello.learndataengineering.co... ►LEARN MORE about Data Engineering: -Check out my free 100+ page data engineering cookbook on GitHub: https://bit.ly/3SKqmq7 +++++ Hey there! I'm Andreas Kretz, your guide to the world of Data Engineering and founder of the Learn Data Engineering Academy. On this channel, I break down complex concepts and share insights from my day-to-day work. Tune in for livestreams where I chat with data experts, dive into workshops, and get hands-on with the latest tools and platforms like AWS, GCP, Apache Spark, dbt, Snowflake, Python, Databricks, Apache Airflow, and more. I also do reviews and reactions to various tools and architectures, giving you an inside look at what's hot in the data world. If you're passionate about Data Engineering, eager to learn, or curious about the latest tools and techniques, hit subscribe. Let's explore the world of Data Engineering together! P.S.: Check out my @plumbersofdatascience podcast for episodes every Monday and Friday, where I tackle various Data Engineering topics. I also feature "Hero Talks" with guest Data Engineers discussing their journeys, job insights, and more.