Lucebra
Lucebra Perniagaan
Pembangunan/Sains Data/Ejen AI & AI Agen

Agentic AI Design Patterns: Reflection, Tool Use & Planning

Multi-Agent Systems, Context-Aware AI, Multi-Modal Workflows & Autonomous Architecture | Final Project Included

Semua Tahap • 13 Kuliah • Akses Sepanjang Hayat
Dr. Amar Massoud

Pengajar Sarjana Disahkan

Agentic AI Design Patterns: Reflection, Tool Use & Planning
TRAILER
Temui pengajar anda: Dr. Amar Massoud

19 ms

5.0 / 5.0
Sarikata 99 Bahasa
1
Pelajar Aktif
Inggeris AS
Sarikata 99 Bahasa
1 jam 20 min
Jumlah Kandungan

Apa yang anda akan pelajari

Understand and implement Reflection, Tool Use, Planning, and Multi-Agent design patterns.
Leverage agentic workflows for enhanced autonomy and adaptability.
Build context-aware and multi-modal AI systems.
Design scalable, efficient, and reliable AI agents for real-world applications.

Kandungan Kursus

8 bahagian • 13 kuliah • 01:20:01 jumlah panjang

Introduction

06:05

Explore agentic design patterns for autonomous AI systems, including reflection, tool use planning, and multi-agent collaboration, applied to multimodal data for scalable, reliable real-world solutions.

Foundations of Agentic AI (1)

06:47

Explore foundations of agentic AI, including self-evaluation, tool integration, strategic planning, and collaboration, and compare agentic workflows with traditional zero-shot models to enable iterative, adaptive problem solving.

Foundations of Agentic AI (2)

05:14

The Reflection Pattern (1)

08:49

The Reflection Pattern (2)

06:07

The Tool Use Pattern (1)

07:13

Leverage the tool use pattern to empower AI with external tools, APIs, databases, and web searches for real-time data, such as weather, to provide tailored recommendations.

The Tool Use Pattern (2)

06:29
Pelan Belajar Mingguan
Rancang perjalanan pembelajaran anda
AI menjana jadual peribadi berdasarkan ketersediaan anda

Keperluan

A basic understanding of AI concepts and workflows is recommended.

Familiarity with Python or another programming language is helpful but not mandatory.

No previous Agentic AI development experience is required.

An interest in intelligent, autonomous, and multi-agent systems.

Khalayak Sasaran

AI enthusiasts eager to explore design patterns for intelligent systems.

Developers and engineers interested in building scalable and autonomous AI agents.

Professionals seeking to enhance AI workflows with adaptability and robustness.

Beginners with a passion for learning how agentic AI systems operate in real-world scenarios.

Mengenai kursus ini

Are you ready to design the future of artificial intelligence? This comprehensive course on Agentic AI Design Patterns will equip you with the skills to build scalable, intelligent, and autonomous AI systems. Whether you’re an AI enthusiast, developer, or industry professional, this course provides practical insights into applying advanced design patterns for real-world applications.

You’ll begin by understanding the foundational patterns like Reflection, Tool Use, Planning, and Multi-Agent systems. These patterns form the backbone of robust AI architectures, enabling context-aware decision-making, adaptability, and efficient task management.

Through engaging lessons and a practical use case, you’ll learn how to integrate these patterns seamlessly to create multi-modal and autonomous AI agents. From designing scalable workflows to optimizing system performance, this course will guide you step-by-step in building reliable and efficient AI systems.

Key takeaways include designing scalable and efficient AI systems, leveraging agentic workflows for enhanced adaptability, and mastering multi-agent collaboration for complex tasks. By the end of the course, you’ll have the knowledge and tools to implement cutting-edge AI solutions.

No prior programming experience? No problem! This course is beginner-friendly and accessible to learners of all levels, while also offering valuable insights for experienced professionals.

Whether you’re looking to advance your AI career, optimize workflows, or develop the next big innovation, this course is your gateway to mastering Agentic AI Design Patterns. Enroll today and take the first step towards shaping the AI systems of tomorrow!

Peluang Kerjaya & Peranan Sasaran

Bina kemahiran sedia kerja dan layak untuk memohon jawatan berimpak tinggi di seluruh dunia

Kurikulum Sedia Kerja
Jawatan yang Boleh Anda Mohon

AI Solutions Engineer

Data Science Consultant

Machine Learning Practitioner

AI Workflow & Automation Specialist

Anggaran Gaji Tahunan
$105,000 – $165,000 / yr
Permintaan Pasaran Global

Fastest Growing Worldwide (#1)

Kemahiran Utama yang Anda Kuasai
Model Fine-Tuning & Evaluation
Data Pipelines & Vector Analysis
Applied Generative AI Architecture
Predictive Analytics & Deployment
* Anggaran berdasarkan penanda aras pengambilan pekerja teknologi global.
Kenali Pengajar Anda
Dr. Amar Massoud
Lihat Profil Penuh
5 Pelajar
Pengajar Utama
Dr. Amar Massoud
Pengajar Utama
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as : ITIL 4 Master, ITIL 3 Expert ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA PGMP, MSP PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master COBIT 2019 Implementor, COBIT 5 Assessor/Implementer TOGAF certified Lean Specialist, VSM Specialist PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor PMI-PBA, CBAP Lean Six Sigma Black Belt, ISO 9001 Implementer Azure Administrator, Azure DevOps Expert, AWS Practitioner And many more....

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