16-12-2025, 16:18 -
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Ai Agent Architecture: Design Effective Agentic Systems
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 20m | Size: 1.74 GB [/center]
The Complete Guide to Designing Modern AI Agents: Build Agentic Systems That Deliver Real-World ROI
What you'll learn
How to design robust prompting systems for agents
How to implement agentic workflows such as routing, parallelization, orchestrator-worker, and evaluator-optimizer
How to build single-agent and multi-agent architectures
How to enable planning, decomposition, and reasoning
How to design memory systems, including short-term context buffers, vector-based RAG, and entity-level memory
How to ensure reliability, performance, and error recovery
How to implement human-in-the-loop control, self-reflection, and oversight
How to apply governance, guardrails, cost control, bias detection, and A/B shadow testing
How to evaluate and benchmark AI agents properly in production
Requirements
Basic understanding of AI and Large Language Models (LLMs)
Basic technical literacy
Description
AI Agents Are Redefining What Software Can Do. Are You Ready to Design Them?If you're fascinated by AI agents and want to truly understand how intelligent systems are architected, scaled, and controlled, then you are in exactly the right place.AI Agents Design Blueprint: Architecting Agentic Systems is a comprehensive course that teaches you how modern AI agents actually work and how to design them for real-world use.You'll start with the foundations of agentic AI, clearly distinguishing between agentic workflows and full AI agents. From there, you'll master the core building blocks of agentic systems, learn when to use agents (and when not to), and understand why architecture is the difference between a demo and a reliable system.As the course progresses, you'll go far beyond theory. You will learn:How to design robust prompting systems for agentsHow to implement agentic workflows such as routing, parallelization, orchestrator-worker, and evaluator-optimizerHow to build single-agent and multi-agent architecturesHow to enable planning, decomposition, and reasoningHow to design memory systems, including short-term context buffers, vector-based RAG, and entity-level memoryHow to ensure reliability, performance, and error recoveryHow to implement human-in-the-loop control, self-reflection, and oversightHow to apply governance, guardrails, cost control, bias detection, and A/B shadow testingHow to evaluate and benchmark AI agents properly in productionBy the end of the course, you won't just "use" AI agents-you'll think like an AI agent architect, capable of designing systems that scale, adapt, and operate safely in real environments.This course is ideal for:AI engineers and developersData scientists and ML engineersTechnical founders and product leadersInnovation managers and AI strategistsAnyone who wants to move beyond chatbots into true agentic systemsFew technologies will reshape software, business operations, and entire industries as profoundly as AI agents. Companies are already shifting from simple LLM tools to agent-driven systems that act and learn.If you want to stay ahead of this transformation, this course will give you the architecture playbook you need.What Makes This AI Agents Course Different?1. Production-Grade Architecture FocusThis is not just another "AI tools" course. We focus on design patterns, scalability, reliability, governance, and performance-the things that actually determine success in real products.2. Instructor ExcellenceYour instructor is Ned Krastev, CEO and founder of 365 Data Science, whose courses have educated over 5 million learners worldwide and are used by professionals and Fortune-level companies across the globe.3. Visual, Story-Driven LearningComplex agentic concepts are explained through high-quality animations, diagrams, and storytelling, making advanced architectures intuitive and easy to retain-far beyond traditional slide-based teaching.30-Day Full Money-Back GuaranteeWe are so confident you'll love this course that you're fully protected with a 30-day, no-questions-asked refund policy. There is zero risk and tremendous upside.The Future of Software Is Agentic.Don't just watch it happen-design it.Click the "Buy Now" button and start architecting the intelligent systems that will define the next generation of AI-powered products.
Who this course is for
AI engineers and developers
Data scientists and ML engineers
Technical founders and product leaders
Innovation managers and AI strategists
Anyone who wants to move beyond chatbots into true agentic systems
Ai Agent Architecture: Design Effective Agentic Systems
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 20m | Size: 1.74 GB [/center]
The Complete Guide to Designing Modern AI Agents: Build Agentic Systems That Deliver Real-World ROI
What you'll learn
How to design robust prompting systems for agents
How to implement agentic workflows such as routing, parallelization, orchestrator-worker, and evaluator-optimizer
How to build single-agent and multi-agent architectures
How to enable planning, decomposition, and reasoning
How to design memory systems, including short-term context buffers, vector-based RAG, and entity-level memory
How to ensure reliability, performance, and error recovery
How to implement human-in-the-loop control, self-reflection, and oversight
How to apply governance, guardrails, cost control, bias detection, and A/B shadow testing
How to evaluate and benchmark AI agents properly in production
Requirements
Basic understanding of AI and Large Language Models (LLMs)
Basic technical literacy
Description
AI Agents Are Redefining What Software Can Do. Are You Ready to Design Them?If you're fascinated by AI agents and want to truly understand how intelligent systems are architected, scaled, and controlled, then you are in exactly the right place.AI Agents Design Blueprint: Architecting Agentic Systems is a comprehensive course that teaches you how modern AI agents actually work and how to design them for real-world use.You'll start with the foundations of agentic AI, clearly distinguishing between agentic workflows and full AI agents. From there, you'll master the core building blocks of agentic systems, learn when to use agents (and when not to), and understand why architecture is the difference between a demo and a reliable system.As the course progresses, you'll go far beyond theory. You will learn:How to design robust prompting systems for agentsHow to implement agentic workflows such as routing, parallelization, orchestrator-worker, and evaluator-optimizerHow to build single-agent and multi-agent architecturesHow to enable planning, decomposition, and reasoningHow to design memory systems, including short-term context buffers, vector-based RAG, and entity-level memoryHow to ensure reliability, performance, and error recoveryHow to implement human-in-the-loop control, self-reflection, and oversightHow to apply governance, guardrails, cost control, bias detection, and A/B shadow testingHow to evaluate and benchmark AI agents properly in productionBy the end of the course, you won't just "use" AI agents-you'll think like an AI agent architect, capable of designing systems that scale, adapt, and operate safely in real environments.This course is ideal for:AI engineers and developersData scientists and ML engineersTechnical founders and product leadersInnovation managers and AI strategistsAnyone who wants to move beyond chatbots into true agentic systemsFew technologies will reshape software, business operations, and entire industries as profoundly as AI agents. Companies are already shifting from simple LLM tools to agent-driven systems that act and learn.If you want to stay ahead of this transformation, this course will give you the architecture playbook you need.What Makes This AI Agents Course Different?1. Production-Grade Architecture FocusThis is not just another "AI tools" course. We focus on design patterns, scalability, reliability, governance, and performance-the things that actually determine success in real products.2. Instructor ExcellenceYour instructor is Ned Krastev, CEO and founder of 365 Data Science, whose courses have educated over 5 million learners worldwide and are used by professionals and Fortune-level companies across the globe.3. Visual, Story-Driven LearningComplex agentic concepts are explained through high-quality animations, diagrams, and storytelling, making advanced architectures intuitive and easy to retain-far beyond traditional slide-based teaching.30-Day Full Money-Back GuaranteeWe are so confident you'll love this course that you're fully protected with a 30-day, no-questions-asked refund policy. There is zero risk and tremendous upside.The Future of Software Is Agentic.Don't just watch it happen-design it.Click the "Buy Now" button and start architecting the intelligent systems that will define the next generation of AI-powered products.
Who this course is for
AI engineers and developers
Data scientists and ML engineers
Technical founders and product leaders
Innovation managers and AI strategists
Anyone who wants to move beyond chatbots into true agentic systems
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