Teaching Channel’s Post

Excited to share that I've completed my second course of this series, 'Machine Learning specialization'. Making 35 hours+ time and sticking to something, not losing interest with ongoing classes, labs, CTs, clubbing things and a few others on the hand, kind of a big deal for me. Hoping to carry this on! Amazing course from DeepLearning.AI and Stanford University!

🔊 If you want to learn how to build LLM agents and multi-agent systems in a beginner-friendly way, check out these awesome free online courses! You won't go wrong with any of them—they're concise, informative, and packed with valuable insights. Check them out in my repo here: https://lnkd.in/g6H4B4dE 📖 Agents Basics: ⛳ Functions, Tools and Agents with LangChain by DeeplearningAI ⛳ Building RAG Agents with LLMs by Nvidia ⛳ LLM Observability: Agents, Tools, and Chains by Arize AI 📖 Multi-Agents and Advanced Topics: ⛳ AI Agentic Design Patterns with AutoGen by DeeplearningAI ⛳ Multi AI Agent Systems with crewAI by DeeplearningAI ⛳ AI Agents in LangGraph by DeeplearningAI ⛳ Building Agentic RAG with LlamaIndex by DeeplearningAI Be sure to complete at least one basics course before diving into the advanced topics. Happy learning! #agents #tools #llms

Top 7 Free AI and Machine Learning Courses Enroll Now in 2024 ✅😍 Craving AI and Machine Learning Skills? 🚀 Dive into the world of AI and ML with these FREE courses! 🤖 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: https://lnkd.in/e8Zcsndi Eligibility: Top 7 Free AI and Machine Learning Courses For Everyone. 𝐒𝐩𝐫𝐞𝐚𝐝 𝐭𝐡𝐞 𝐰𝐨𝐫𝐝! Share this announcement with your friends and classmates who might be interest 💌

One of the most important skills to get an AI position is being able to build a robust ML system. This is knowledge that is typically not taught at Universities or online courses. I got this knowledge by making a lot of ML systems. Tomorrow, I'll share with my ML community on-demand skills for building a robust ML system and use Recommenders as a practical example. Get the content here: https://lnkd.in/d_vVq5K8

One of the best, mindblowing, hardest course that I have ever take. I love how Andrew Ng explain very complex machine learning concepts in very simple easy to understand manner with many practical/daily life examples. I definitely will do other courses!!!

"After weeks of hard work and dedication, I am proud to have completed the 'Machine Learning Foundations' course on Coursera! This journey has been incredibly enriching, providing me with a solid understanding of machine learning principles and techniques. I look forward to leveraging these skills in future projects and continuing my learning in AI. Thank you to the instructors and peers who made this experience so rewarding. Onward and upward! 📜🚀 #ContinuousLearning #MachineLearning #Coursera #AI #Education"

Made a resolution to start Machine Learning before the New Year. Started the Machine Learning Specialisation on Coursera, offered by Stanford and deeplearning.ai on 31st December,2023. The specialisation comprises of 3 courses: 1. Supervised Machine Learning: Regression and Classification: ✅ Completed on 21st January, 2024. 2. Advanced Learning Algorithm: ⏰Started 22nd January,2024. Estimated date to complete: 29th February,2024 3. Unsupervised Learning, Recommenders, Reinforcement Learning: ➡️ Next in Line It's been an insightful learning experience so far! #machinelearning #stanford #coursera #supervisedlearning #datascience

I'm excited to share my accomplishment of finishing the Coursera/DeepLearning.AI Machine Learning Specialization led by Andrew Ng. Throughout this journey, I delved into a wide array of topics supervised learning (regression and classification). It was an enriching experience that deepened my understanding of machine learning concepts. #Coursera #DeepLearing.AI #SupervisedLearning #MachineLearning

You might never want to go to school after watching this. There are millions of free courses online but this website is the ultimate and here is why; ==> Free and low-cost compared to traditional education. ==> Study anytime, anywhere, fitting around personal commitments. ==> Access to a wide range of topics not always available locally. ==> Learn from top instructors and institutions worldwide. 📌 Get all my AI guides and more (free): https://lnkd.in/eVkgV_Jv 🔄 REPOST to help others know this 👉 Follow me Awa K. Penn  for AI tips and tools

Completed the first of three courses in Standford Online x DeepLearning.AI's Machine Learning Specialization. A lot of really interesting models on the fundamentals of machine learning, taught by the amazing #andrewng. Excited to kick off the next one! #deeplearningai #coursera