How to Develop AI Skills: Tips from My Experience

🌐 My Personal AI + Cloud Learning Toolkit (Free Resources I Use Daily) When I started diving deep into AI + Cloud engineering, I realized there’s so much noise out there. These are the free resources that actually made a difference for me: 🔹 Hands-On Labs: AWS Free Tier, Azure Free Account, and GCP Free Trial *Spin up real services without cost. *Great for practicing deployments in production-like environments. *Learn billing awareness & cost management early. 🔹 AI Practice: Google Colab and Notebook LM *Run AI/ML notebooks directly in the cloud. *Experiment with Python, TensorFlow, and PyTorch easily. *Share and collaborate on projects seamlessly. 🔹 Cert & Cloud Labs: KodeKloud (free to start, full access requires subscription) *Hands-on labs for Kubernetes, Docker, DevOps, and cloud. *Guided paths for certification prep. *Real sandbox environments to build muscle memory. 🔹 Structured Paths: Microsoft Learn *Free guided learning modules for AI + Cloud. *Interactive coding sandboxes. *Earn badges to track progress. 🔹 Community Power: *LinkedIn posts, Discord servers, and GitHub repos *Stay updated on real-world projects. *Network with others on the same path. Share progress to keep accountability. ✨ The best part? You don’t need to spend $$$ to start learning — just consistency and curiosity. 👉 What’s ONE free resource you swear by in your AI/Cloud journey? #CloudComputing #ArtificialIntelligence #CloudEngineering #LearningJourney #FreeResources #KodeKloud #NoteBookLM #AWS #Azure

🚀 One of the most common questions I get: “Which AI/ML certification should I do?” In my network, I often see people sharing that they’ve completed courses from DeepLearning.ai, Coursera, and other platforms. While I haven’t done those myself (so I don’t have an opinion on them), I do hold all three AWS AI/ML certifications, and here’s what I think, based on my experience. 🔹 First, a key distinction: Unlike most AWS certifications that focus heavily on AWS services, the AI/ML track emphasizes machine learning concepts first, with AWS services layered on top. During my MBA, I took courses in Machine Learning and Statistics, and that foundation helped me a lot in these certifications. If you don’t have that foundation, I’d recommend starting with ML fundamentals (e.g., Andrew Ng, LinkedIn Learning, Udemy, etc.). 📚 Here’s a quick snapshot of each AWS AI/ML cert (in the order I suggest): 1️⃣ AWS Certified AI Practitioner (Foundational) A beginner-friendly certification that introduces you to AWS’s AI/ML services, concepts, and use cases — no heavy prerequisites. 2️⃣ AWS Certified Machine Learning Engineer – Associate Builds on foundational knowledge by covering the end-to-end ML workflow — data prep, model training, tuning, and deployment on AWS. 3️⃣ AWS Certified Machine Learning – Specialty The most advanced level, delving into deep learning, algorithmic optimization, and designing production-scale ML solutions on AWS. ✅ If your aim is to just get started with AWS AI/ML, go with the Practitioner first. From there, move to Associate and then Specialty as you gain more knowledge and hands-on experience. 💬 Which AI/ML certifications or courses have been most helpful in your journey? #AWS #AWSCertified #AWSCertification

Snowflake and ICT Academy Partner to Equip 250,000 Students and 1,000 Educators in ...: ... big data analytics, and machine learning. Students will gain hands-on access to the Snowflake AI Data Cloud, structured curricula, and pathways to ... #bigdata #cdo #cto

Free Amazon (AWS) Courses & Certificates. [𝐍𝐨 𝐩𝐚𝐲𝐦𝐞𝐧𝐭 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐝 ❌] Let's check out the top 8 courses for 2025:⤵ 1. Introduction to Artificial Intelligence Artificial intelligence (AI), its significance, machine learning, deep learning, and Amazon's application of AI in its products are all covered in this course. 🔗https://lnkd.in/gwm6yJ59 2. Introduction to Blockchain Beginners who are curious in how blockchain may benefit businesses should take this course. It goes over the main ideas, advantages, and practical applications of blockchain technology. 🔗https://lnkd.in/gjWjpGt8 3. Data Analytics Learning Plan This Learning Plan aids professionals in designing, building, securing, and maintaining analytics solutions, aiding in data analysis and preparing for the AWS Certified Data Analytics - Specialty exam. 🔗https://lnkd.in/gh5iFQtF 4. DevOps Engineer Learning Plan Professionals may swiftly and securely launch apps on AWS with the aid this learning plan. To help you get ready for the AWS Certified DevOps Engineer exam, it covers CI/CD, version control, and infrastructure as code. 🔗https://lnkd.in/gCbU8fRC 5. Getting Started with DevOps on AWS This course is intended for technical learners who want to understand the fundamentals of AWS DevOps. You will investigate the methods, procedures, and equipment employed in a DevOps setting. 🔗 https://lnkd.in/gcNFsdDs 6. Machine Learning Terminology and Process This course covers fundamental machine learning principles and data processing techniques, examining popular concepts approaches in machine learning projects, providing detailed explanations of each phase. 🔗 https://lnkd.in/gcaMFkbg 7. Machine Learning Plan It offers virtual instruction in cloud computing and machine learning services to get you ready for the AWS Certified Machine Learning - Specialty test. 🔗https://lnkd.in/gWn6htQk 8. AWS Cloud Quest: Cloud Practitioner Get practical experience with AWS services and learn how to develop real-world solutions. 🔗 https://lnkd.in/gvRuRYbc 

BREAKING: Anthropic just dropped their Learn hub. 11 courses are now available for FREE. Here’s what you can learn: → Claude Code in Action → AI Fluency for Students → Claude on Amazon Bedrock → Anthropic API Fundamentals → Claude on Google Cloud’s Vertex → Teaching AI Fluency (for educators) → AI Fluency: Framework & Foundations → Prompt Engineering: Interactive Tutorial → Model Context Protocol: Getting Started → Tool Use (connect Claude to external tools) → Model Context Protocol: Advanced Concepts To access it: https://lnkd.in/dzBrpgze

BREAKING: Anthropic just dropped their Learn hub. 11 courses are now available for FREE. Here’s what you can learn: → Claude Code in Action → AI Fluency for Students → Claude on Amazon Bedrock → Anthropic API Fundamentals → Claude on Google Cloud’s Vertex → Teaching AI Fluency (for educators) → AI Fluency: Framework & Foundations → Prompt Engineering: Interactive Tutorial → Model Context Protocol: Getting Started → Tool Use (connect Claude to external tools) → Model Context Protocol: Advanced Concepts To access it: https://lnkd.in/dzBrpgze

😍 G'day Beautiful People...today I am in New Zealand...specifically Auckland...running a Generative AI for Execs course...so I am super excited...as it's one of my favourite courses. Check out the video below to learn more 👇 I also wanted to introduce you all to a brand new feature called AWS Skills Profile...🎯 As some of you may know...I have achieved all 12 AWS certifications plus 2 instructor certs...so my profile for certifications looks rather full. But your's can look full too...🎉 👀In addition to outlining your certs it also showcases the Cloud Quests you have completed, Simulearns completed, labs completed and other cool Credly badges. 🙏It's a great way to show your breadth and depth of AWS experience. Take a peek at mine here 👇 https://lnkd.in/gmsY96mg Simply sign into AWS Skill Builder...go into Account, Profile...scroll down and Click on Skills Profile at the bottom 😎 If you're not familiar with Simulearn artifacts they are awesome hands-on game-based learning. With more hands-on and less game than the Cloud Quests. They are my fav. Check out all the Generative AI Simulearns (100+) here 👇 https://lnkd.in/gPB8K3qM That's it my friends...have an amazing week and stay safe. At Digital Colmer signing off...😍 P #TheDigitalCoach #AWS #GenerativeAI #AI #AgenticAI #Training #Certification #Auckland #Gaming #Learning #Skills

I Completed my AWS Course 1. Cloud Exposure Unlike traditional theory-based courses, this program offered practical, cloud-based labs on AWS, where I directly worked with real tools instead of just reading about them. 2. Bridging Cloud + AI Many courses focus either on cloud computing or AI. This program uniquely blends AWS Cloud fundamentals with machine learning foundations, preparing learners to apply AI in scalable, real-world environments. 3. Industry-Backed Learning Being part of AWS Academy, the curriculum is designed in sync with what industries demand today, ensuring that the skills gained are directly employable. 4. Accelerated Learning Journey With 20 hours of intensive content, the course doesn’t just skim the surface — it compresses deep learning concepts, problem-solving exercises, and cloud-based experiments into a structured, career-ready format. 💡 My Key Takeaways A solid foundation in supervised, unsupervised, and reinforcement learning concepts. Confidence in leveraging AWS cloud services to deploy and test ML models. The mindset to innovate by combining cloud infrastructure with intelligent systems. #snsinstitutions #snsdesignthinkers #designthinking

✨ Introducing MUJEFA’s Python AI & ML Kit: Unlock the power of generative AI with the built-in Jupyter AI extension! Designed for developers and AI practitioners, MUJEFA integrates seamlessly with top LLMs like OpenAI’s ChatGPT and Hugging Face. 🌐 Why choose MUJEFA? ✔ Easy deployment on AWS, Azure, and GCP ✔ GPU acceleration for faster training ✔ Pre-loaded libraries including TensorFlow & PyTorch ✔ Collaborative multi-user JupyterHub environment 🕹 Start deploying today: 🔗 AWS Guide https://lnkd.in/dkB9JuCP 🔗 Azure Guide https://lnkd.in/dkS_2Qz8 🔗 GCP Guide https://lnkd.in/dRvjTisa 🚀 The future of AI is here. Let’s build it together! #ArtificialIntelligence #MachineLearning #AWS #Azure #GoogleCloud