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To ensure employees are well-equipped with AI skills, here are 5 highly regarded training resources: 1. Coursera - AI For Everyone by Andrew Ng: -Description: This course provides a broad introduction to AI for non-technical audiences. It's designed to help employees understand the potential of AI and how it can be applied in various industries. -Pros: Accessible to all levels, taught by a renowned AI expert, free to audit. -Cons: Limited depth on technical skills. 2. edX - Professional Certificate in AI by IBM: -Description: This professional certificate program covers essential AI concepts, including machine learning, deep learning, and neural networks. -Pros: Comprehensive, practical projects included, recognized certification. -Cons: Requires a time commitment, some courses may have fees. 3. Udacity - AI Programming with Python Nanodegree: -Description: Focused on programming skills necessary for AI, this program teaches Python, NumPy, pandas, Matplotlib, PyTorch, and more. -Pros: Hands-on projects, career services, collaboration with tech companies. -Cons: More technical, requires prior programming knowledge, paid course. 4. fast.ai - Practical Deep Learning for Coders: -Description: This course offers a practical approach to deep learning, aimed at helping learners build real-world applications. -Pros: Free, practical and hands-on, active community support. -Cons: Requires coding knowledge, less structured than formal courses. 5. Google AI - Learn with Google AI: -Description: Google’s platform provides a variety of resources, including courses, tutorials, and hands-on practice with AI tools. -Pros: Free resources, practical tools and exercises, access to cutting-edge research. -Cons: Self-paced, may require additional resources for a comprehensive understanding. These resources cater to different levels of expertise and learning preferences, providing a solid foundation for employees to develop their AI skills. Note I was trained on ChatGPT which works perfectly at my level. #ai #artificialintelligence #education #training #resources #courses #training #management

Some Updates- Lately, I've been feeling inadequate on learning AI/ML as I jumped straight into the Maths first because that was the fundamental required on understanding the whole of AI/ML. But I jumped in too fast and too far ahead. I no longer feel confident in the knowledge that I've learnt so far. Although I keep saying to myself that I've been in the tech field for like a decade now since I started early, I took much of it for granted. Because someone who just started 3-6 months ago could excel in far better performance, knowledge and skills than me. Why? Because they were consistent. Every single day. I wasn't. I had gaps in my Journey, due to unfavorable circumstances. And now I'm suffering from Knowledge gaps. However, I do understand reading code structure, but I no longer have the ability to write advance code anymore. Because of this reason, I've embarked on a self-paced learning journey, exploring various online resources, taking courses, and immersing myself in the latest research and developments. I'm determined to gain a deeper understanding of the underlying principles, algorithms, and practical applications of AI and ML. This journey is not without its challenges, but I'm embracing them as opportunities for growth and self-improvement. I'm committed to pushing past my comfort zone, challenging myself, and continuously expanding my horizons. Join me, as we embarked on this challenging field of AI/ML where new things are being innovated, constantly updated and new horizons that are to be expanded.

To better prepare students for careers in the field of Machine Learning (ML) and Artificial Intelligence (AI), high schools should consider offering courses or programs that introduce students to AI concepts and practical applications. https://lnkd.in/e-neg4D3

🚀 Level Up Your Career with AI! 💼💡 AI is the next Biggest Skill To learn. AI experts earn up to $200,000+ Per Year.🌟🤖 🎓🔥 Here Are 4 FREE COURSES From Google and Microsoft that most peaple don't Know : 🔹 AI for Beginners :  -Microsoft is offering a free AI course for absolute beginners; -This course is a 12-week, 24-lesson curriculum all about Artificial Intelligence. 🔹 AI For Everyone -AI is not only for engineers. "AI for Everyone", a non--technical course. -Skill you will gain : workflow of Machine Learning Project, AI Termnology, AI Strategy, Workflow of Data Science Project 🔹 Generative AI Learning Path By Google -Google offersa free learning path on generativeI with 9FREE courses. -This learning path guides you thought a curated collection of content on generative AI product and technologies. 🔹 ChatgGPT Prompt Engineering for Developers -You will learn how to use large language model(LLM) to quickly build new and powerful applications; -The course is beginner friendly. Only a basic understanding pf Python is needed. Don't miss out on this golden opportunity to ride the AI wave and master the skills that will shape the future.  🌊🚀 Your journey starts now! Click the link to dive in. 👉 [https://lnkd.in/eSAU5rRK] #AIFuture #FreeAIcourses #GoogleAI #MicrosoftAI #AIExperts #LifelongLearning

🔶🔶🔶 Absolutely FREE AI courses from 🔶🔶🔶 #Microsoft, #Google, #harvarduniversity, #deeplearningai, #linkedin and #stanforduniversity Here are the top 10 free courses recommend to learn AI: 1. Foundations of Prompt Engineering This course introduces the basics of prompt engineering and progresses to advanced prompt techniques. ✔ https://lnkd.in/dyEt4DGt 2. ChatGPT Prompt Engineering for Developers A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI. ✔https://lnkd.in/eiRtk-6q 3. Google's Introduction to Generative AI Aimed at explaining what Gen is, how it is used, and how it differs from traditional machine learning methods. ✔https://lnkd.in/eBQXfBe9 4. Harvard's Introduction to AI with Python Learn to use machine learning in Python in this introductory course on artificial intelligence. ✔ https://lnkd.in/eu4mZaAG 5. Microsoft's 'What Is Generative AI?' The basics of Gen AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethics. ✔ https://lnkd.in/eYNWzXUX 6. Learn Prompting A comprehensive course in prompt engineering with over 60 content modules. Takes you from beginner to advanced in the art of prompt engineering. ✔ https://lnkd.in/eNi_YNSe 7. Google's Introduction to Responsible AI Learn what Responsible AI is, why it’s essential, and how Google implements it in its products. ✔ https://lnkd.in/eTrwSU89 8. Harvard's Data Science: Machine Learning Learn about training data and how to use a set of data to discover potentially predictive relationships. You'll also learn how to build a movie recommendation system and data science techniques. ✔ https://lnkd.in/eX28syMJ 9. LangChain for LLM Application Development Gain essential skills in expanding the use cases and capabilities of language models in application development using LangChain. ✔ https://lnkd.in/evZVJbNy 10. Microsoft's Streamlining Your Work with Microsoft Bing Chat Learn how Bing Chat can perform a wide variety of tasks and help you streamline your entire workflow, from generating ideas and summarizing data to solving common work problems. ✔ https://lnkd.in/ejN-qrVy #artificialintelligence #datascience #aitraining

Ready to dip your toes into the world of AI? You’re in luck! IBM SkillsBuild and SkillUp Online are offering two free programs to introduce you to the career possibilities in AI. You can choose the one that best fits your needs! Both programs include: • self-paced & instructor-led learning • natural processing language • machine learning & deep learning • real-world projects • Credly digital credential • IBM digital certificate So what are the differences? One course runs for 4 weeks, and the other course runs for 10 weeks. The 4-week course (orientation May 27th) is all about fundamentals. It’s great if you want to get a taste of AI but aren’t sure if a career transition is right for you. Registration closes May 24th. The 10-week course (orientation May 30th) goes into more depth. The extra time means you can explore the topics more fully — and learn about things like generative and embedded AI. You’ll get a little more experience and be a little closer to starting a career in AI. You’ll also do a short pre-work assignment to get you started. Registration closes May 28th. To sign up, create an account with the link below for your chosen course and then click “enroll” in the learning plan. 4-week course: https://lnkd.in/dnGgQhWZ 10-week course: https://lnkd.in/dfD8kapr Note: By registering/enrolling in this learning experience, you acknowledge that SkillUp, a training delivery vendor of IBM SkillsBuild, will process your data and contact you regarding your participation in this learning plan and other IBM SkillsBuild educational activities. #ArtificialIntelligence #Upskill #WorkingInSweden

Artificial intelligence is all the rage right now and there’s never been a better time to dive in and learn relevant skills to help power your career to the next level. To do that, you’ll need to be ready to pivot, not just once or twice, but on a regular basis – long term. It involves identifying transferable skills that you have, and those that you don’t have, because AI technology is a broad field with a variety of specialties each of which requires unique skillsets. And you must also decide which AI disciplines appeal to you the most in order to focus your efforts on specific goals. That will call for an inventory of soft and hard skills in order to plot a particular path forward. You must learn the fundamentals behind AI and at least some of the basics behind programming and math. Those can be learned in a variety of online and onsite courses and programs that cater to novices. Think Coursera, EdX, Udemy, IBM and Goole, not to mention a plethora of academic institutions that provide such training. Try simply jumping into beginning AI projects, learn as you go, and practice solving roadblocks that you’ll inevitably encounter. We’re talking about real-world problems and challenges, stuff that you will run into sooner or later. Then you can increase the complexity and diversity of work and discover what appeals to you, and what does not.  Use it all to build a portfolio about your learning experiences and the insight that you gained. Lastly, get out there and mix it up! Network with AI professionals and maybe even some experts in the field. Think LinkedIn and a host of other social media platforms that cater to AI professionals at all levels. Use these strategies to begin your journey. They’re just one way of getting you started. Here’s more. #careerpivot #upskilling #aitechnology #lilearning “Here's how to pivot your career into AI and how your existing skills can help open doors in the booming AI field.”

Netflix Offers Salary upto $900,000 for AI-Focused Role Google, Microsoft and others are offering FREE online courses to Learn AI Here's a list of FREE AI courses: 𝟏. 𝐀𝐈 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 - 𝐁𝐲 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 Microsoft is offering a FREE AI course for beginners. It's a 12-week, 24-lesson course about Artificial Intelligence. https://lnkd.in/ehbSbN_Q 𝟐. 𝐆𝐎𝐎𝐆𝐋𝐄 - 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐩𝐚𝐭𝐡 Google launched a free learning path on Generative AI. It has 9 FREE courses: https://lnkd.in/ebNtCQcB 𝟑. 𝐀𝐈 𝐟𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 AI is not just for engineers. - The course is non-technical and designed for everyone. - It helps you understand AI technologies. - Real-life examples of AI capabilities and limitations will be shown. https://lnkd.in/ekJQ4ppN 𝟒. 𝐌𝐢𝐝𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐏𝐫𝐨𝐦𝐩𝐭 𝐓𝐢𝐩𝐬 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐚𝐧𝐝 𝐕𝐞𝐭𝐞𝐫𝐚𝐧𝐬 - Unlock the full potential of Midjourney with these essential tips for both beginners and veterans. Discover the power of AI Image Tricks through this comprehensive tutorial. https://lnkd.in/e5ahQ9TK 𝟓. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 You will learn how to use a large language model (LLM) to quickly build new and powerful applications. Course is beginner-friendly. Only a basic understanding of Python is needed. https://t.co/uI7TeSEVYh That's a wrap! If you enjoyed reading this, please : Repost ♻️ it as a support. Follow me to never miss updates

By 2025, AI is projected to generate 4 million jobs, with companies investing between $300,000 and $900,000 for AI positions. Here are 7 learning platforms offering certificates to master AI 👇 Don't miss the train 🚂 1. Coursera: → Collaborates with esteemed colleges and universities for AI classes. → Provides certificates endorsed by reputable institutions. → Offers courses tailored for all proficiency levels. 2. FutureLearn: - Partners with colleges to offer a diverse range of courses. - Courses are free, with certificates available for a fee. - Covers various subjects, including AI. 3. Kaggle: → Perfect for hands-on learning experiences. → Offers real-world exposure through competitions. → Provides complimentary resources on data science and machine learning. 4. Google AI: - Delivers free courses developed by Google. - Emphasizes AI and machine learning fundamentals. - Receive a certificate upon course completion. 5. Fast AI: → Geared toward coders interested in practical deep learning. → Emphasizes practical, hands-on applications. → Free to access, with an option for paid certification. 6. IBM Cognitive Class: - Offers complimentary courses on AI and data science. - Provides practical experience using IBM's tools. - Earn digital badges and certificates upon course completion. 7. Stanford IT Online: → Stanford University offers no-cost courses. → Focuses on intricate AI and machine learning subjects. → Some courses offer certificate options. If you found this post helpful, follow me at @Saidul Islam for more Posts. Thank you for your time. ﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋﹋ ♻�� If you found this helpful, like or repost to educate your network 🔔  Follow Keryann van der Heyden for more AI resources 🚀 #ArtificialIntelligence #Entrepreneurship #BusinessInnovation #ai #explainableai #explained #keryann #Xtendencyai #stanford #AI #Automation

Top 8 DataCamp courses to Learn #AI, #ChatGPT, and #MachineLearning