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Tutorial Intermediate ⏱ 30 min read © Gate of AI 2026-05-11 Learn how to integrate LlamaIndex with the latest AI models to create a powerful retrieval-augmented generation system, enhancing data processing capabilities. Prerequisites LlamaIndex version 0.10 or later (v0.14+ recommended for 2026) Access to OpenAI API (GPT-4o or later) Intermediate Python programming skills What We’re
L8 AGENTIC SYSTEMS MAY 6, 2026 CERTIFIED: GATE OF AI ✍️ By Mohammed Saed | Technical Architect & AI Systems Lead The 2026 baseline for AI applications isn’t a chatbot—it’s a Collaborative Agentic Network. Learn to build systems that think in loops, manage shared state, and interact with the world via the Model Context Protocol
Full-Stack AI May 5, 2026 © Gate of AI ✍️ By Mohammed Saed | Technical Architect The Agentic Web: Mastering Next.js AI Integration In 2026, we’ve moved past simple chatbots. Users expect Generative UI—interfaces that don’t just talk, but actually refactor code and update the DOM in real-time. This guide skips the “demo” code and
L6 ARCHITECTURE MAY 2026 VERIFIED BY GATE OF AI ✍️ By Mohammed Saed | Technical Architect & AI Engineer Neural Memory Orchestration: Architecting Petabyte-Scale Sovereign RAG For the technical architect building in 2026, retrieval is no longer a simple database query; it is a High-Concurrency Distributed Optimization Problem. As we move toward Sovereign AI in
Advanced Agentic AIMay 1, 2026© Gate of AI In 2026, linear automation is insufficient. Production AI requires Stateful Agents that can loop, self-correct, and use tools. We are moving away from basic scripts toward Directed Acyclic Graphs (DAGs). Prerequisites Python 3.11+ LangGraph & LangChain-DeepSeek libraries API Key from DeepSeek (V4-Flash for reasoning-heavy loops) The Problem
Engineering GuideAdvanced⏱ 45 min deep-dive© Gate of AI 2026-04-29 Moving beyond linear scripts, this tutorial explores Agentic Design Patterns. We will architect a production-ready Multi-Agent System (MAS) using CrewAI and GPT-4o, focusing on role-based modularity, autonomous tool-calling, and hierarchical task orchestration. Engineering Prerequisites Environment: Python 3.10+ (Virtual Environment highly recommended). Compute: High-rate limit OpenAI API
TutorialExpert⏱ 45 min read© Gate of AI Transition your autonomous agents from high-latency prototype to enterprise-grade production. Learn how to point your LangGraph workflows to an NVIDIA Dynamo cluster to achieve 7x throughput and eliminate redundant context-window recomputes. Prerequisites Python 3.10+ with virtual environment setup LangGraph & LangChain Core () NVIDIA Dynamo
TutorialAdvanced⏱ 45 min read© Gate of AI 2026-04-22 Learn to automate complex data conversion workflows using the modern Next.js App Router and the DataSpeck system, empowering your applications with human-in-the-loop AI transformations. Prerequisites Node.js v18 or higher Next.js v14+ (App Router proficiency required) DataSpeck API access (or local deployment instance) Advanced JavaScript/TypeScript and REST API
Learn to architect an autonomous desktop agent using Claude 4.5 and Vision-Language-Action workflows. Securely orchestrate AI to interact with legacy systems.
Learn to create a Visual Autonomous Agent using Vision-Language-Action workflows and the Computer Use API. Prerequisites include Python 3.12+ and Docker.
Learn to build an autonomous research team of AI agents using LangGraph and Claude 3.5. Prerequisites include Python 3.12 and Anthropic API access.
Learn to automate complex software workflows using TypeScript and the OpenAI Agents SDK. Ideal for advanced developers looking to enhance their CI/CD processes.