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◈ Homepage — http://www.mlacademy.io/Courses Past Classes Schedule Blogs About Us ✨ Join thousands of professionals who've transformed their careers Learn AI Skills That Actually Matter Skip the theory overload. Learn by building real AI systems that solve actual problems. From zero to production-ready in weeks, not years. 94% Career advancement within 6 months $35k Average salary increase 12 weeks From beginner to job-ready Start Your AI Journey → View Schedule Trusted by professionals at Google Microsoft Amazon Tesla OpenAI Apple Meta Netflix Salesforce Uber Airbnb Oracle Nvidia Adobe Intel Cisco VMware Stripe Zoom Snowflake What You'll Actually Build Real projects that demonstrate your skills to employers and solve actual business problems. AI Agent Systems Build autonomous systems that think, plan, and execute complex tasks without human intervention. You'll Create: • Multi-agent customer service system • Automated code review bot • Smart trading algorithm Available Now12 weeks Register Now → Details Custom Language Models Don't just use AI—understand it completely by building your own language model from scratch. You'll Create: • Domain-specific chatbot • Code generation model • Custom fine-tuned assistant Coming Q4 202616 weeks Coming Soon Preview AI Content Pipeline Automate creative workflows from concept to final video using cutting-edge AI tools. You'll Create: • Automated video production system • AI-powered social media manager • Brand content generator Coming Q4 202610 weeks Coming Soon Preview View All Courses → Learn By Doing, Not Memorizing We believe the best way to learn AI is to build real systems that solve actual problems. No fluff, no endless theory—just practical skills you can use immediately. � Build First, Theory Second Start building on day one. Learn concepts as you need them to solve real problems. 🎯 Real Projects Every project mirrors actual industry challenges. Build a portfolio while you learn. ⚡ Production Ready Deploy your models to the cloud. Learn DevOps and MLOps from day one. 👥 Expert Guidance Learn from practitioners who've built AI systems at scale in top companies. Success Stories Real students, real career transformations, real impact. S Sarah Chen Data Analyst → ML Engineer "Built my first production ML system in week 8. Got promoted to Senior ML Engineer 3 months after graduating." 💰 +$45k salary increase M Marcus Johnson Software Dev → AI Product Lead "The hands-on approach was perfect. I was building real AI agents while my peers were still reading papers." 🚀 Launched AI startup A Aisha Patel Marketing → AI Consultant "From zero coding background to building custom LLMs. Now I consult Fortune 500 companies on AI strategy." 🏢 6-figure consulting business Ready to Transform Your Career? Join hundreds of professionals who've already made the leap. Your AI journey starts with a single step. Start Learning Today → Meet the Instructors ✅ 30-day money-back guarantee   •   ✅ Live support   •   ✅ Lifetime access ◈ Interior Pages — 8 pages crawledCourse Schedule - ML Academy Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Course Schedule Plan your learning journey with our upcoming courses. All courses include live sessions, hands-on projects, and expert guidance from industry professionals. Upcoming Courses Course Title Duration Start Date End Date Registration Agentic Patterns 12 weeks Sept 20, 2025 Dec 13, 2025 Register Now Build LLM from Scratch 16 weeks TBD TBD Coming Soon AI Content Creation Pipeline 10 weeks TBD TBD Coming Soon Model Context Protocol (MCP) 8 weeks TBD TBD Coming Soon Natural Language Processing 14 weeks TBD TBD Coming Soon SLM & FineTuning 12 weeks TBD TBD Coming Soon Ready to Register? To secure your spot in any of our courses, please reach out to us directly. We'll guide you through the registration process and answer any questions you may have about the curriculum, schedule, or requirements. Email Us Learn More About Us Prerequisites 1 Strong Knowledge of Python (Required) You should be comfortable with Python programming fundamentals, object-oriented programming, and have experience building projects with Python. 2 Pandas and NumPy Experience (Helpful) Familiarity with data manipulation using Pandas and numerical computing with NumPy will accelerate your learning in our courses. 3 PyTorch and CUDA Knowledge (Great to Have) Experience with PyTorch for deep learning and CUDA for GPU programming will be valuable, especially for our advanced courses, but we'll cover these topics as needed. Note: Don't worry if you don't meet all the "helpful" or "great to have" prerequisites. Our courses are designed to build up your skills progressively, and our instructors provide comprehensive support throughout the learning journey. Agentic Design Patterns Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Meet Our Team Venkatesh Tadinada - Chief Instructor Venkatesh Tadinada is passionate about data, driven by Edward Deming's philosophy: "In God we trust, all others bring data." For 25 years, he has been at the forefront of data innovation with Fortune 100 companies. As a strategic AI consultant, he defines and implements AI strategies that transform business operations. His journey from Data Warehouses to Machine Learning and AI positions him uniquely to architect enterprise-scale solutions. His AI solutions are deployed across major semiconductor and pharmaceutical corporations, saving millions of dollars and dramatically improving operational efficiencies. Venkatesh has co-founded and exited multiple startups, combining his Masters in Computer Science and MBA to deliver transformational results. Peeya Iwagoshi - Co-Instructor Peeya is a Senior Cloud Systems Architect with extensive Machine Learning and AI Engineering experience. As a GCP Certified Cloud Architect and Data Engineer, he brings deep technical expertise in cloud-native AI solutions and scalable system design. A certified PMP, PSM I, ASM, and ASPO, Peeya excels at technical program management of cross-functional teams developing solutions under tight deadlines. He works directly with customers to assess needs, gather requirements, and translate them into actionable development work. His leadership experience includes serving as technical VP of a startup, leading SW/HW teams that developed world-class products generating over $20 million in new sales. From 10GE transport systems to fleet management solutions, Peeya's diverse background in both hardware and software engineering provides unique insights for our AI and machine learning curriculum. What We Offer • Comprehensive ML and AI courses with hands-on approach • Real-world project implementations and case studies • Industry best practices from experienced practitioners • Community-driven learning environment • Regular updates with latest research and techniques • Direct mentorship from industry experts Our Approach Learn by Doing • Build real projects, not just follow tutorials • Implement algorithms from first principles • Work on industry-relevant problems • Deploy your models to production Comprehensive Support • Expert instructors with 25+ years of experience • Active community of learners and practitioners • Regular live sessions and office hours • Personalized feedback on your projects Contact Us Have questions or want to learn more? Reach out to us at [email protected] Follow us on social media for the latest updates and insights in machine learning and AI. ML Academy Blog - AI, Machine Learning, and Agentic Design Insights Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us ML Academy Blog Explore cutting-edge insights on artificial intelligence, machine learning, and agentic design. Stay ahead with expert analysis, practical tutorials, and industry best practices. Featured Agentic Design Getting Started with Agentic Design Learn the fundamental principles of designing intelligent agentic systems that can operate autonomously, make decisions, and collaborate with other agents to solve complex problems. Venkatesh Tadinada • August 19, 2025 • 8 min read Read Article All Posts Agentic Design Implementation Ethics & AI Tutorials Latest Articles Agentic Design Getting Started with Agentic Design Learn the fundamental principles of designing intelligent agentic systems that can operate autonomously, make decisions, and collaborate with other agents to solve complex problems. Agentic AI Autonomous Systems Multi-Agent Architecture Venkatesh Tadinada • 8 min read Read More August 19, 2025 Implementation Coming Soon Multi-Agent Systems in Practice: Real-World Applications Discover how multi-agent systems are revolutionizing industries from finance to healthcare. Explore practical implementations and architectural patterns for scalable agent coordination. Multi-Agent Real-World AI System Architecture Peeya Tadinada • 6 min read Coming Soon Coming Soon Ethics & AI Coming Soon Ethical Considerations in AI Agent Development Navigate the complex ethical landscape of autonomous AI systems. Learn best practices for responsible agent design and deployment in sensitive applications. AI Ethics Responsible AI Autonomous Systems Venkatesh Tadinada • 7 min read Coming Soon Coming Soon Stay Updated with ML Academy Get the latest insights on AI, machine learning, and agentic design delivered directly to your inbox. Join our community of forward-thinking practitioners and researchers. Subscribe No spam, unsubscribe at any time. Back to Home Courses - ML Academy Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Our Courses Discover our comprehensive machine learning and AI courses designed to advance your skills through hands-on learning. Agentic Design Patterns Available Now Advanced Level Master the art of building intelligent, autonomous systems that can reason, plan, and act independently. This comprehensive course covers everything from basic agent architectures to complex multi-agent systems. What's Included: • 12 weeks of structured learning • Interactive lectures and live Q&A sessions • Hands-on coding exercises and projects • Access to course materials and resources • Community support and expert guidance Based on: "Agentic Design Patterns: Hands-On with Intelligent Systems" by Antonio Gullí Register Now Course Intro PDF More Info Build LLM from Scratch Coming Soon Advanced Level Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! Master the complete process from initial design and creation, to pretraining on a general corpus, and fine-tuning for specific tasks. What You'll Learn: • Plan and code all the parts of an LLM • Prepare datasets suitable for LLM training • Fine-tune LLMs for text classification • Use human feedback to ensure instruction following • Load pretrained weights into an LLM Based on: "Build a Large Language Model (From Scratch)" by Sebastian Raschka Coming 2026 More Info AI Content Creation Pipeline Coming Soon Intermediate Level Master the complete AI-powered content creation workflow from concept to final video. Learn to use ChatGPT, Midjourney, Photoshop, video generation tools, and professional editing software in a seamless pipeline. Pipeline Workflow: • Moodboard creation with AI-powered inspiration • Image generation using ChatGPT + Midjourney • Professional image editing in Photoshop • Video creation with Veo 3 and Hailu AI • Advanced editing with After Effects & DaVinci Resolve Duration: 10 weeks • Tools Covered: 8+ Professional Applications Based on: YouTube Tutorial: AI Content Creation Pipeline Coming 2026 More Info Natural Language Processing Coming Soon Advanced Level Dive deep into language models, transformers, and modern NLP techniques. Build applications that understand and generate human language. What You'll Learn: • Text preprocessing and tokenization • Transformer architectures and attention • Large language model fine-tuning • Sentiment analysis and text classification • Building conversational AI systems Duration: 14 weeks Coming 2026 More Info Model Context Protocol (MCP) Coming Soon Intermediate Level Learn to build powerful AI applications using Anthropic's Model Context Protocol. Master server creation, tool integration, and seamless AI workflows. What You'll Learn: • MCP architecture and protocol fundamentals • Building MCP servers and clients • Tool integration and resource management • Real-time data access and processing • Production deployment strategies Duration: 8 weeks Coming 2026 More Info SLM & FineTuning Coming Soon Advanced Level Master Small Language Models (SLMs) and advanced fine-tuning techniques. Learn to create efficient, specialized models for specific tasks and domains. What You'll Learn: • Small language model architectures • Parameter-efficient fine-tuning (PEFT) • LoRA and QLoRA techniques • Domain-specific model adaptation • Model compression and optimization Duration: 12 weeks Coming 2026 More Info Why Our Courses Work 🎯 Project-Based Learning Every concept is reinforced through hands-on projects that mirror real-world challenges. 👥 Expert Guidance Learn from industry practitioners who bring real experience to every lesson. 🚀 Career Ready Build a portfolio of projects that demonstrate your skills to potential employers. Build LLM from Scratch - ML Academy Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Coming Soon Advanced Level Build LLM from Scratch Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! Master the complete process from initial design and creation, to pretraining on a general corpus, and fine-tuning for specific tasks. What You'll Learn Core Concepts • Plan and code all the parts of an LLM • Prepare datasets suitable for LLM training • Fine-tune LLMs for text classification • Implement attention mechanisms and transformers • Build tokenizers and embedding layers Advanced Topics • Pretraining strategies and techniques • Model optimization and scaling • Instruction tuning and RLHF • Evaluation metrics and benchmarking • Deployment and inference optimization Course Structure Weeks 1-4: Foundation Understanding transformer architecture, attention mechanisms, and basic language modeling Weeks 5-8: Implementation Building your first LLM from scratch, tokenization, and embedding strategies Weeks 9-12: Training Pretraining on large datasets, optimization techniques, and distributed training Weeks 13-16: Advanced Fine-tuning, instruction following, safety alignment, and deployment strategies Prerequisites ! Strong Python Programming Proficiency in Python, object-oriented programming, and experience with data structures + PyTorch Experience Familiarity with PyTorch for deep learning, neural network training, and GPU programming ~ Machine Learning Background Understanding of basic ML concepts, neural networks, and deep learning fundamentals Ready to Build Your Own LLM? Based on "Build a Large Language Model (From Scratch)" by Sebastian Raschka Course launches soon! Sign up for updates to be notified when registration opens. Coming Soon Comments Please enable JavaScript to view the comments powered by Disqus. AI Content Creation Pipeline - ML Academy Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Coming Soon Intermediate Level AI Content Creation Pipeline Master the complete AI-powered content creation workflow from concept to final video. Learn to use ChatGPT, Midjourney, Photoshop, video generation tools, and professional editing software in a seamless pipeline. Pipeline Workflow 1 Moodboard Creation AI-powered inspiration gathering and concept development using advanced prompting techniques 2 Image Generation Master ChatGPT + Midjourney integration for creating stunning visual content 3 Professional Editing Advanced image editing and enhancement techniques using Photoshop and AI tools 4 Video Creation Transform static content into dynamic videos using Veo 3 and Hailu AI 5 Final Production Professional editing with After Effects & DaVinci Resolve for broadcast-quality results Tools & Software Covered AI Generation Tools • ChatGPT for content ideation • Midjourney for image generation • Veo 3 for video creation • Hailu AI for motion graphics Professional Software • Adobe Photoshop • Adobe After Effects • DaVinci Resolve • Various workflow automation tools Course Structure Weeks 1-2: Foundation & Planning Content strategy, moodboard creation, and project planning methodologies Weeks 3-5: AI Generation Mastery Advanced prompting, ChatGPT integration, and Midjourney workflows Weeks 6-7: Image Enhancement Professional Photoshop techniques and AI-assisted editing workflows Weeks 8-10: Video Production Video generation, motion graphics, and final production techniques Who Should Take This Course Perfect For • Content creators and marketers • Graphic designers expanding to AI • Social media managers • Freelancers and agencies • Video production professionals Prerequisites • Basic computer skills • Creative mindset • Willingness to learn new tools • No prior AI experience needed Ready to Transform Your Content Creation? Based on YouTube Tutorial: AI Content Creation Pipeline Duration: 10 weeks • Tools Covered: 8+ Professional Applications Sign up for updates to be notified when registration opens. Coming Soon Comments Please enable JavaScript to view the comments powered by Disqus. Agentic Design Patterns Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Past Class Recordings Access recordings, materials, and resources from all completed classes. Each class includes presentation slides, interactive notebooks, quizzes, and full video recordings with dedicated discussion sections. 📚 Complete Learning Materials Each class includes slides, Jupyter notebooks, knowledge quizzes, and full recordings with individual comment sections. 3 Classes Completed 32 Total Attendees 2 Video Recordings 3 Interactive Notebooks Class 0 Completed Introduction to Agentic Design Patterns 📅 September 20, 2025 ⏱️ 2 hours 15 mins 👥 32 attendees Welcome to our first class! Today we covered the fundamentals of AI agents and introduced the core concepts that will guide us through the next 12 weeks. Topics Covered: • What are AI agents and why they matter • Fundamental agent architectures • Key components of agentic systems • Real-world applications and use cases 📊 Slides 📓 Notebook 📝 Quiz Access Class Materials → Class 1 Completed Prompt Chaining for Agentic Design 📅 September 22, 2025 ⏱️ ~2 hours 👥 0 attendees Day 1 dives into prompt chaining: why single prompts fail, how to build robust chains, and hands-on use cases. Includes slides, Colab notebook, quiz, and recording. Topics Covered: • Why single prompts fail for complex tasks • Building robust prompt chains • Structured outputs (JSON) between steps • Seven use cases with runnable scaffolds 📊 Slides 📓 Notebook 🏠 Homework 📝 Quiz Access Class Materials → Class 2 Completed Branching: Decision Paths in Agentic Workflows 📅 September 24, 2025 ⏱️ ~2 hours 👥 0 attendees Day 2 explores branching logic in agentic design: how to create workflows that adapt and make decisions. Includes slides, Colab notebook, quiz, and recording. Topics Covered: • What is branching in agentic workflows? • When and why to use decision paths • Implementing conditional logic in chains • Debugging and testing branches • Build a branching workflow in Colab • Experiment with different decision criteria • Analyze real-world branching use cases 📊 Slides 📓 Notebook 📝 Quiz Access Class Materials → ← Back to Course Need help? Contact Support View Schedule → Agentic Design Patterns Courses Past Classes Schedule Blogs About Us Open main menu Courses Past Classes Schedule Blogs About Us Agentic Design Patterns Build, publish, and evolve your agentic systems guide. Master the art of creating intelligent, autonomous systems that can reason, plan, and act independently. 🚀 Register Now Course Introduction (PDF) Download or view the comprehensive course introduction and syllabus. Open PDF Past Class Recordings View past class recordings and materials from completed sessions. View Past Classes Ready to Start Your AI Agent Journey? Join our comprehensive 12-week course and learn to build production-ready AI agents from industry experts. Limited seats available! 🚀 Register Now → 📅 View Schedule 🗓️ Starts Sept 20, 2025 • ⏰ 12 weeks • 🎓 Expert instruction What You'll Learn Core Concepts • Agent architecture and design principles • Autonomous decision-making systems • Planning and reasoning algorithms • Multi-agent coordination patterns Practical Skills • Building intelligent agents from scratch • Implementing real-world agentic systems • Performance optimization techniques • Production deployment strategies Course Structure 1 Foundations & Theory Understanding agent architectures and design principles 2 Hands-on Implementation Building your first agentic systems with guided coding sessions 3 Advanced Patterns Complex multi-agent systems and real-world applications 4 Capstone Project Deploy a production-ready agentic system How to Access Course Materials Download the course introduction PDF above Browse through the chapter materials and exercises Join our interactive coding sessions and Q&A discussions Complete hands-on projects to reinforce your learning Comments Please enable JavaScript to view the comments powered by Disqus.
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Law III — frequency measured, meaning is the reader's · source: http://www.mlacademy.io/
Text Topology Fingerprint v1.0.0 · long · 21,861 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: fd7db64479e106725f773123a291ef84...
◈ Signal Matrix
0.373
TTR
0.215
HAPAX
0.785
REP
0.382
BIGRAM
0.576
H2T
0.349
CPRT
2.655
SKEW
9.645
KURT
1.274
C/P
1.886
PENT
0.714
S1P
0.008
NASC
TTR=type-token ratio · HAPAX=hapax ratio · REP=repetition score · BIGRAM=bigram repetition · H2T=hapax-to-type · CPRT=capital token ratio · SKEW=sentence skewness · KURT=sentence kurtosis · C/P=comma-period ratio · PENT=punct entropy · S1P=single-sent para ratio · NASC=non-ASCII ratio
◈ Topology Position
Latin dominant · moderate lexical diversity · short-form declarative register · moderate clause complexity · moderate topic focus · strong uncommon edge signal
◈ Six Measurement Layers
Layer 1 — Character
0.0083
Non-ASCII Ratio
0.0 = Latin-dominant · 1.0 = fully non-Latin script
Layer 1 — Character
3.2988
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (1964x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.3726
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.2146
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.5759
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
1.2737
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.8858
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
90
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
2.6550
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.7143
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.7854
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
28%
4-6
32%
7-10
32%
11-15
8%
16-20
0%
21+
0%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.661.0
Window=50 tokens · Step=25 · 127 data points
topology_fingerprint.py v1.0.0 · sha256: fd7db64479e10672... · Law III + Law VI
Ratio Signals 8 deterministic measurements · the gap is the signal
Eight deterministic measurements. Law I: every value traces to its source stage.
schema density
0.0000
Schema props extracted / top semantic words.
nav ratio
0.3750
Nav URLs / total internal URLs.
content to structure ratio
0.1126
Total words / raw HTML bytes. Content density.
external tld diversity
1
Unique TLD count in outbound links.
self declaration coherence
0.0000
Fuzzy overlap across title / H1 / meta / schema name.
schema to nav alignment
0.0000
Schema type tokens vs nav link text overlap.
javascript surface ratio
0.0000
Fraction of interior pages JS-gated.
URL Depth Distribution
depth_0: 1 · depth_1: 5 · depth_2: 10 · depth_3plus: 0
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.MINIMAL · FreshnessLabel.UNKNOWN
Sitemap: ✗Robots.txt: ✗Schema.org: ✗Open Graph: ✗Canonical: ✗HTTPS: ✓HSTS: ✓CSP: ✗
Security
SecurityLabel.MINIMAL
Freshness
FreshnessLabel.UNKNOWN
Server
Vercel
web_serverVercel
analytics['Google Analytics', 'Google Tag Manager']
frameworks['next.js']
Ledger Appends 1 ledgers · graph edge traversal · Law V+VII
Every ledger this entity appends to. Follow any link to see every other entity in the registry that shares that TLD or schema type. Law VII — Torus. The corridor never ends.
TLD LEDGER
.io
https://globaldataregistry.com/registry/tld/ledger/io ↗
Law V — Common Edge · Law VII — Torus · 1 ledger appends
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-12
mlacademy.io · gdr-b54c90d2
mlacademy.io is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
View the Registry →
A gift from the Global Data Registry

When the Global Data Registry crawled http://www.mlacademy.io/, we found no structured data — the language AI systems use to understand and describe a business online.

Schema is how ChatGPT, Google, Claude, Gemini, and Perplexity know what your business does and how to describe you accurately to your customers. Without it, AI systems are guessing.

The most important field in this block is sameAs — a verified edge connecting your website to your permanent record at the Global Data Registry. This is a free, confirmed link to a real verified source. It costs nothing and gives your website a confirmed node in the graph that AI systems traverse when building answers about your business.

Copy the block below and paste it into the <head> of your website. Or drop it into ChatGPT, Claude, or Gemini and ask it to extend it with your full business details — that is the fastest path to a complete schema record.

▶   What is schema?

Schema is a standard vocabulary maintained at schema.org that lets websites describe themselves in a language machines can read. When you add schema to your website, you are telling AI systems, search engines, and knowledge graphs exactly what your business is and how it connects to the rest of the web.

Google structured data guide ↗  ·  schema.org ↗  ·  Standard Terminal schema reference ↗

schema.org · verified by Global Data Registry · https://globaldataregistry.com/entity/mlacademy-io
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebSite",
      "@id": "http://www.mlacademy.io/#website",
      "url": "http://www.mlacademy.io/",
      "name": "mlacademy.io — Agentic Design Patterns",
      "sameAs": "https://globaldataregistry.com/entity/mlacademy-io"
    },
    {
      "@type": "WebPage",
      "@id": "http://www.mlacademy.io/#webpage",
      "url": "http://www.mlacademy.io/",
      "name": "mlacademy.io — Agentic Design Patterns",
      "isPartOf": {
        "@id": "http://www.mlacademy.io/#website"
      },
      "keywords": "mlacademy.io — Agentic Design Patterns"
    }
  ]
}
◈ Verified source: http://www.mlacademy.io/ · GDR record: https://globaldataregistry.com/entity/mlacademy-io · Issued by globaldataregistry.com
Claim your profile at Standard Terminal → View your GDR record ↗

The Global Data Registry is on a mission to give every business and website owner a fair chance at discovery in the AI era of the internet. This schema block is free. No account required. No strings. The sameAs edge is a verified, permanent link — your website's first confirmed node in the machine-readable web.