Course Includes:
- Price: FREE
- Enrolled: 16222 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 04:15 PM (updated every 10 min)
Course Folder
What You'll Learn
- Build and deploy AI agents using LLMs
- memory
- tools
- and reasoning strategies across real-world business and technical domains.
- Master Agentic AI frameworks like LangChain
- LangGraph
- CrewAI
- AutoGPT
- BabyAGI
- and LlamaIndex for hands-on applications.
- Implement multi-agent systems with communication protocols
- task delegation
- and emergent behavior for complex workflows.
- Apply Retrieval-Augmented Generation (RAG) with vector databases like FAISS
- Pinecone
- and Chroma to boost agent performance.
- Integrate AI agents with enterprise systems
- APIs
- workflow tools
- cloud platforms
- and IoT for real-world automation.
- Ensure AI safety and governance with guardrails
- human-in-the-loop feedback
- adversarial defense
- and ethical design.
- Optimize AI agent performance by tuning memory
- reducing latency
- cutting costs
- and evaluating ROI with advanced metrics.
- Deliver a capstone project where you design
- deploy
- and present a full-scale Agentic AI solution with practical business impact.
Requirements
- Basic computer skills and comfort with using software tools.
- Familiarity with Python (helpful but not required—we provide a refresher).
- An interest in AI
- machine learning
- or automation.
- A computer with internet access to run cloud tools
- frameworks
- and hands-on labs.
- A willingness to learn by building projects
- experimenting
- and exploring new frameworks.
Description
The Certified Master in Agentic AI: A 52-Week Applied Program is the most comprehensive, hands-on training designed to help professionals, developers, and innovators master Agentic AI, AI Agents, and Large Language Models (LLMs) from foundations to advanced applications. Across 52 weeks and 156 expert-led topics, you’ll gain practical skills in AI agent design, multi-agent systems, agent frameworks, retrieval-augmented generation (RAG), AI memory, reasoning, planning, safety, and deployment.
This program goes far beyond theory. Each week is packed with applied Agentic AI projects, labs, and case studies that show you exactly how to build, scale, and optimize AI agents for real-world use cases. Whether your focus is business automation, finance, healthcare, education, robotics, IoT, cybersecurity, or creative AI applications, this course equips you with the agentic AI skills needed to thrive in today’s AI-first world.
You’ll start with the foundations of Agentic AI, covering the anatomy of an AI agent—including LLMs, memory, tools, and goals. You’ll then dive deep into AI frameworks like LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex, gaining hands-on experience in building, orchestrating, and scaling AI agents. Special emphasis is placed on multi-agent systems, where you’ll explore communication, collaboration, and emergent behavior in complex agent environments.
Throughout the course, you’ll learn how to integrate AI agents with modern technologies such as vector databases (FAISS, Pinecone, Chroma), cloud services (AWS, Azure, GCP), enterprise systems (ERP, CRM), workflow automation tools (n8n, Zapier), and observability platforms (Prometheus, Grafana, OpenTelemetry). You’ll also gain expertise in AI safety, guardrails, human-in-the-loop feedback, and governance frameworks, ensuring you can design trustworthy and compliant agent systems.
A major highlight of this program is its focus on applied learning. You’ll build domain-specific AI agents for industries like finance, healthcare, law, education, government, and entertainment. You’ll create intelligent tutoring systems, trading strategy agents, compliance bots, medical assistants, creative storytelling agents, and robotics controllers. Every project is designed to strengthen your ability to apply Agentic AI to solve real business and societal challenges.
In the final quarter, you’ll advance into autonomous AI agent design, focusing on self-improving agents, swarm intelligence, lifelong learning, and human-AI collaboration. You’ll master AgentOps, including CI/CD pipelines, deployment strategies, observability, metrics, ROI evaluation, and performance optimization. The program concludes with a capstone project, where you and your peers will design, deploy, and present a full-scale Agentic AI solution—a real portfolio piece to showcase your mastery.
By the end of this Agentic AI certification, you’ll be recognized as a Certified Master in Agentic AI, equipped with cutting-edge skills in AI agents, LLMs, multi-agent systems, RAG pipelines, AI safety, and enterprise-scale deployment. This is not just a course—it’s a career-transforming journey into the future of Agentic AI.
Who this course is for:
- AI/ML professionals and engineers who want to expand their skills into Agentic AI
- LLMs
- and multi-agent systems.
- Software developers and data scientists looking to apply AI agents across domains such as business
- finance
- healthcare
- education
- and robotics.
- Product managers and business leaders seeking to understand how Agentic AI can transform workflows
- drive automation
- and create new opportunities.
- Entrepreneurs and startup founders who want to design AI-powered products and services with practical
- scalable applications.
- Students and career changers eager to break into the AI and machine learning field with a structured
- applied
- and project-based program.
- IT professionals and system architects interested in integrating AI agents with enterprise systems
- APIs
- and cloud platforms.
- Researchers and academics exploring the next frontier of autonomous systems
- reasoning
- and agent collaboration.
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