Alina Benchea’s Post

I'm thrilled to share that I've recently completed the "Introducing Generative AI with AWS" course on Udacity!🎉 This 12-hour program provided an excellent beginner-level overview of generative AI and its latest real-world applications. Some key highlights from the course: 📖 I explored the evolution of AI, from early pattern-matching chatbots like Eliza to modern large language models powering virtual assistants like Alexa. Seeing this progression really drove home how rapidly the field is advancing. 🛠 I gained invaluable hands-on experience fine-tuning foundation models on AWS SageMaker for domain-specific tasks, and experimented with different FMs on Amazon Bedrock to assess their performance. ✨ My favorite part was using PartyRock, an amazingly intuitive tool for building generative AI apps by refining prompts and leveraging AI building blocks. ⚖️ The program also emphasized the importance of AI ethics, safety considerations, and promoting diversity in AI development - aspects that are crucial as generative AI becomes more ubiquitous. 🎓 For the final project, I customized an LLM to act as a subject matter expert, showcasing the power of techniques like retrieval-augmented generation (RAG). I'm grateful to the exceptional instructor Matthew Purcell for making this an engaging learning experience. And a big thanks to Amazon Web Services (AWS) for providing accessible AI/ML training opportunities like this! If you're eager to dive into generative AI, I highly recommend checking out this program. The hands-on skills gained will propel your AI journey. 🚀 #GenerativeAI #AWS #Udacity

🌟 Ready to ride the AI wave? 🌊 Check out our recent blog post: ⤵️ https://lnkd.in/g9WPCUqr You don’t need to be a tech guru to dive in! Whether you’re a curious learner or aspiring pro, our guide has you covered with five essential steps to start your AI journey. From online courses to experimenting with cool projects, discover how to transform from an observer to an AI pioneer! 🚀✨ 👉 Hit the link to explore more and kickstart your adventure.

🌟 Unlock Your Generative AI Potential: Limited-Time Discount Inside! 🌟 I'm overjoyed by the amazing support you've shown for the launch of my course, "Building Image and Vision Generative AI Solutions on Azure". To show my appreciation, I'm offering an exclusive, limited-time discount! 🎉 This course is part of the Azure Generative AI Engineer Nanodegree Program on Udacity. It’s designed to give you the skills to build, scale, and deploy generative AI applications on Azure, utilizing advanced models like GPT-4 and DALL-E. ✨ Why You Should Join ✨ 💡 Develop practical, real-world skills in AI-powered image and vision solutions. 🌐 Gain hands-on experience with Azure’s state-of-the-art AI tools. 🎨 Learn to create stunning visuals from natural language. 🤖 Integrate text and image processing to solve complex, real-world challenges. To make this journey even more accessible: 🎁 Use coupon code: 6WGRJGDLJ7C8F38D at checkout for a one-time 5️⃣0️⃣% discount. 📅 Offer valid until: November 30, 2024 📍 Enroll here: bit.ly/genai-vision Plus, enrolling in this course gives you Udacity All Access, allowing you to explore other incredible courses once you complete this one. The learning opportunities are endless! 🤝 Join the Community If you're interested in Generative AI or know someone who wants to dive in, now is the perfect time. Feel free to share this post or tag them in the comments below! 💭 Questions? If you have any questions, please leave them in the comments or send me a direct message. I can’t wait to see the innovative solutions you'll create using these skills. Let’s learn, grow, and innovate together! 🚀

Level Up Your AI Skills with Free Google Courses Looking to dive into the world of artificial intelligence? Google has you covered with a range of free online courses designed to equip you with the knowledge and skills needed to succeed in the AI field. Here's a breakdown of the courses available: * Generative AI: Get a foundational understanding of generative AI, its applications, and explore Google's tools for creating AI-powered apps. * Introduction to Large Language Models: Learn about the basics of LLMs, their use cases, and how to effectively use prompts to enhance their performance. * Gen AI Fundamentals: Complete three foundational courses, take a quiz, and earn a shareable Google Cloud skill badge to demonstrate your understanding of generative AI concepts. * What is Gen AI Studio? Take a glimpse into Generative AI Studio and discover how you can prototype and customize models without coding. * Intro to Gen AI Studio: Watch a short video demo to learn about the features, options, and uses of Generative AI Studio. * Discover Responsible AI: Learn how Google integrates responsible AI into its products and gain insights into responsible AI practices. * Responsible AI: Delve deeper into responsible AI and learn how to operationalize it within your organization. Don't miss out on this opportunity to expand your AI knowledge and skills. Enroll in these free courses today and take your career to the next level! Follow Mubashir Habib on LinkedIn for more informative tech updates: https://lnkd.in/d-stsS5u #AI #MachineLearning #DeepLearning #Google #FreeCourses #OnlineLearning #TechTips #TechAdvice #OnlineTips #TechNews #IndustryNews

I am delighted to announce that I have completed the "𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒" course and earned a Verified Certificate of Completion. This comprehensive program, offered by Amazon Web Services (AWS) at Udacity, has equipped me with a profound understanding of the cutting-edge field of #GenerativeAI and its practical applications. The course commenced with an exploration of Artificial Intelligence (AI) in context, delving into its evolution, societal prevalence, and industry applications. This foundation paved the way for a comprehensive introduction to the fundamentals of AI and Machine Learning (ML), covering their intricate relationship, machine learning models, types, and approaches, including generative AI. One of the pivotal aspects of this program was the in-depth study of Large Language Models (LLMs). We examined their evolution, transformer architectures, training methods, prompt engineering, and fine-tuning techniques, which are essential for leveraging the power of these advanced models. Furthermore, the course provided invaluable insights into the real-world applications of Generative AI, examining its societal impact, creative applications, ethical considerations, diversity in AI, and the policy implications that arise from its widespread adoption. The culmination of this educational journey was a hands-on project where I had the opportunity to fine-tune a text generation large language foundation model for domain adaptation using AWS SageMaker. This practical experience allowed me to apply the theoretical knowledge acquired throughout the program, reinforcing my understanding and proficiency in this field. I would like to extend my sincere gratitude to the exceptional instructors at Amazon Web Services (AWS), particularly Matthew Purcell, Senior Technical Trainer (AI/ML), for their expertise, guidance, and unwavering commitment to imparting knowledge. As I embark on the next phase of my professional journey, I am confident that the knowledge and skills acquired from this course will prove invaluable in driving innovation and contributing to the responsible development and deployment of Generative AI technologies. #AWSCertification #GenerativeAI #ArtificialIntelligence #MachineLearning #LargeLanuageModels #AWS #AWSTraining

Free Google courses that will kick-start your AI knowledge - or refresh it ⬇️ A few friends have reached out to up skill, and I think good place to start are these Google courses. They’re totally free, and have been updated recently so you know things aren’t totally out of date (yet!). The beginner-friendly Generative AI Learning Path covers: 🔗https://lnkd.in/gSvPkVFJ → Introduction to Generative AI → Introduction to LLMs → Introduction to Responsible AI → Prompt Design in Vertex AI → Responsible AI: Applying AI Principles with Google Cloud If you’re more experienced and want some courses that are more advanced, the Generative AI for Developers Learning Path is probably more your speed. 🔗https://lnkd.in/gkDM_XP2 → Intro to Image Generation → Attention Mechanism → Encoder-Decoder Architecture → Transformer Models and BERT model → Create Image Captioning Models → Intro to Generative AI Studio

The future of development is here, and it's powered by AI. 🚀 Are you ready? 🤔 Traditional developer roles are evolving. ➡️ Data Scientists and AI specialists are in high demand. Why upskill in AI? 👉 Increased productivity 👉 New career opportunities 👉 Drive innovation Here are 5 FREE resources to get you started: 🎓 AI and Machine Learning with Google (YouTube Playlist): Put the best of Google's AI to work for you. Learn to build, deploy, and train your own ML models. 🎓 Machine Learning and Artificial Intelligence (CloudSkillsBoost): Free courses from beginner to advanced. Explore the world of generative AI and more. 🎓 Gemini for Google Workspace (CloudSkillsBoost): Learn how Gemini can enhance your productivity and efficiency within Google Workspace. 🎓 Elements of AI (University of Helsinki): A series of free online courses that demystify artificial intelligence and teach you how to create AI methods. 🎓 Machine Learning Crash Course (Google Developers): Google's fast-paced, practical introduction to machine learning with video lectures and hands-on exercises.

🎉 Excited to Share My Learning Journey! 🌟 I’m thrilled to announce that I’ve successfully completed an in-depth course on Generative AI and Large Language Models (LLMs), offered by DeepLearning.AI in collaboration with AWS! 🚀 This course has been a game-changer, providing me with a solid foundation and advanced insights into the fascinating world of AI-powered text generation and its real-world applications. Here’s a quick overview of what I explored: ✅ Generative AI Basics & LLM Architectures – Understanding transformers and their revolutionary impact. ✅ Prompt Engineering – Crafting effective prompts for optimal outputs. ✅ Pre-training & Fine-tuning – Adapting models for domain-specific tasks. ✅ Reinforcement Learning from Human Feedback (RLHF) – Aligning models with human values. ✅ Optimizing LLMs – Enhancing performance and scaling efficiently. ✅ Real-world Applications – Using LLMs in dynamic and responsible AI projects. The course also included hands-on labs powered by AWS, where I gained practical experience with: 💻 Deploying and fine-tuning models. 🔍 Case studies like BloombergGPT and domain-specific applications. 📈 Techniques such as LoRA, soft prompts, and chain-of-thought reasoning. As a professional passionate about innovation, this course has equipped me with the tools and confidence to work on cutting-edge AI projects and contribute to the evolving AI ecosystem. I’m excited to apply these skills to real-world challenges and keep learning in this ever-growing field! A big shoutout to DeepLearning.AI and AWS for curating this incredible learning experience. 🙌 Let’s connect and exchange ideas about Generative AI and its transformative potential! 💡 #GenerativeAI #MachineLearning #Transformers #AI #LLMs #AWS #DeepLearningAI #LifelongLearning

Here are 10 FREE Google courses you can complete in the next 28 days to master AI: // Master AI in 28 Days Google has just released a series of free courses on Artificial Intelligence (AI), making it easier than ever to upskill in this rapidly evolving field. No textbooks or fees required! Generative AI: A 45-minute course explaining what Generative AI is, how it's used, and Google Tools for Gen AI apps. Complete the course to earn a badge! (https://lnkd.in/dzEkJ3xw) Intro to Large Language Models: Gain a foundational understanding of LLMs, their use cases, and prompt tuning to enhance their performance. (https://lnkd.in/d-E34ctX) Gen AI Fundamentals: Complete 3 foundational courses and a quiz to earn a shareable Google Cloud skill badge demonstrating your understanding of Gen AI concepts. (https://lnkd.in/dYMcNQXD) What is Gen AI Studio?: A quick video introduction to Generative AI Studio and how you can use it, even without coding experience! (https://lnkd.in/dnnqph6f) Intro to Gen AI Studio: A short video demo to learn about the features, options, and uses of Generative AI Studio, which helps users prototype and customize models for applications. (https://lnkd.in/dAuUgqYi) #AI #Google #FreeCourses #Upskilling

I’ve been diving into Generative AI for the past few months. I started by watching 3blue1brown’s series and then delved into Andrej Karpathy’s videos on the topic. These resources were real game-changers for me. However, I wanted a more structured approach to learning, so I explored various courses. That’s when I stumbled upon the Google Cloud Skills Boost learning platform. It offers a diverse range of courses and thoughtfully curated learning paths, all available for free. When it comes to Generative AI, there are two distinct paths: Beginner: Introduction to Generative AI Learning Path: https://lnkd.in/gVQsyy_k Advanced: Generative AI for Developers Learning Path: https://lnkd.in/gbDcji3a I recently completed the "Beginner: Introduction to Generative AI Learning Path" path (profile - https://lnkd.in/gwWKMVkq), and it was a fantastic experience. I encourage you to explore the courses or paths (https://lnkd.in/gTJkYWSe) that align with your interests. Happy learning!