Kingston Business Solutions

Google, Harvard, and more are offering FREE AI courses (no payment required) Here are 8 FREE courses to master AI in 2024: 1. Google AI Essentials Google AI Essentials is a self-paced course designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. 🦾 https://lnkd.in/dQvCiwxw 2. Microsoft AI Course Microsoft offers an AI course that covers the basics and more. Start off with an introduction and continue through learning about neural networks and deep learning. 🦾 https://lnkd.in/dJKW2ahX 3. Introduction to AI with Python Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. 🦾 https://lnkd.in/dkr-M5eE 4. Prompt Engineering for ChatGPT This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. 🦾 https://lnkd.in/dif5zsyF 5. ChatGPT Prompt Engineering for Devs OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. 🦾 https://lnkd.in/d2keGfvu 6. LLMOps Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM. 🦾 https://lnkd.in/dhCQyQbv 7. Big Data, Artificial Intelligence, and Ethics In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson. Start by learning about big data opportunities and end knowing the limitations of AI. 🦾 https://lnkd.in/dJ4qxfBN 8. AI Applications and Prompt Engineering edX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end knowing how to create your own applications. 🦾 https://lnkd.in/dhCmUXPj

This #EarthDay, we at Kingston Business Solutions reaffirm our commitment to sustainable growth. 🌱 Leveraging technology not only drives efficiency but also conserves resources and nurtures our planet. Let's innovate for a greener tomorrow! 🌿 #Sustainability #TechForGood

"Coaches are your external eyes and ears, providing a more accurate picture of your reality." Learn more about the benefits of a coach at work or in life here: http://t.ted.com/DTHHkYr

I have compiled the best free Google AI courses. Don't miss these courses. They are: - Expertly tailored and highly relevant - Suitable for newbies and experienced pros alike - Fantastic resources to ace the AI game in 2024 Check them out below, and get ahead in your career. Beginner Level 1) Introduction to Generative AI Understand the fundamentals of generative AI and its use cases, and gain practical experience of developing generative AI apps. https://lnkd.in/dyabpncK 2) Prompt Design in Vertex AI Craft powerful prompts, learn multimodal generative techniques, and apply Gemini models to real-world marketing cases. https://lnkd.in/d8QgGSrS  3) Introduction to Duet AI in Google Workspace Learn to use Duet AI to streamline your Google Workspace and become more productive. https://lnkd.in/d6-sQ-DN   4) Responsible AI: Applying AI Principles with Google Cloud Learn best practices to responsibly integrate AI into your business operations. https://lnkd.in/ddp4vBNd  Intermediate 5) Conversational AI on Vertex AI and Dialogflow CX Build, deploy and manage virtual agents to engage with customers and resolve errors. https://lnkd.in/dnkAxE4B  6) Attention Mechanism Understand the basics of attention mechanism and learn to use it to improve standard ML tasks, such as machine translation, text summarization, and answering questions. https://lnkd.in/dDZTDEvg  7) Create Image Captioning Models Use deep learning to create your own image captioning model, train it, and evaluate output. https://lnkd.in/duuJTWvv  8) Encoder-Decoder Architecture Learn the fundamentals of encoder-decoder architecture and to use it to train models to perform sequence-to-sequence tasks. https://lnkd.in/dsNaBcBt  Advanced 9) ML Pipelines Learn from trainers and engineers who are directly involved in the development of ML pipelines at Google Cloud. https://lnkd.in/dDu_fgVZ  10) Google Cloud Solutions II: Data and Machine Learning Learn to use Google Cloud to run big data operations and analytics, using the ML practices of Google’s Solutions Architecture team. https://lnkd.in/dpMYeVyK DISCLAIMER: Most course materials are free to consume. But labs may need a subscription, credits, or participation in campaigns to be accessed. Repost ♻️ to help spread these courses. And follow Eric Partaker for more on AI, leadership, and self-mastery. 📌 Want the hi-res PDF with clickable links? Try my newsletter: https://lnkd.in/dF-VwKqi You’ll get the Google AI Courses PDF and 40+ more high-value cheat sheets.

I have been working with #artificialintelligence close to two decades and I have been working with industrial applications of #ai for over a decade and what I have observed is that misunderstanding of #businessandmanagement on what #ai looks like. I found this illustration by Andy Scherpenberg amazing as it beautifully describes the #ai in a full picture. We can see where the #ethicalai and #regulations are placed and where #datapreparation, #dataengineering, and #datamodeling are. That is why we can see successful #ai based companies such as #Amazon, #Google (#Alphabet Inc.), #Tesla, #Meta, #Rakuten, #iVCV, and many more hires various scientists with different discipline so that they can fulfil each of the verticals shown in the bottom part of this illustration. In #PwC Finland we focus a lot of #responsibleai which is actually laying on all steps from #data #selection and #datacleansing to #model #tuning and #operationalization . This is also very important for us that our clients will also understand that #ai is not just a box and they grasp the importance of each steps as shown below. #machinelearning #python #generatieveai

The next step in rapid application development

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“Hardware engineering is almost like making your own LEGO block in order to develop a LEGO set. My personal interest in building things has powered my success professionally — for me, it’s all one and the same.” Alfred Jones, Director of VR product hardware engineering, shares how his passion for putting things together led him to doing work he truly loves. Read his story here: https://bit.ly/48xXIyk

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