Development100% OFF

Certified Master in Agentic AI: A 52-Week Applied Program

School of AI

4.6(9.0K students)

Self-paced

All Levels

About this course

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.

Skills you'll gain

Data Scienceen

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: School of AI

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$100.99

Save $100.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/certified-master-in-agentic-ai

Welcome to Building Agentic AI and Autonomous Agent with Python & Groq course. This is a comprehensive project based course where you will learn how to build cutting edge AI agents that are fully autonomous and able to make their own decisions without being directed by humans. This course is a perfect combination between Python and AI agents, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in system automation. In the introduction session, you will learn the basic fundamentals of agentic AI, such as getting to know its use cases, its workflow, and the difference between regular AI and agentic AI. Then, in the next section, you will learn about the basic concepts of prompt engineering and context engineering, specifically you will learn how to design effective prompts, structure context, and guide your AI agents toward producing accurate results. Afterwards, we will start the project. Firstly we are going to build AI research assistants and report generator agents using Groq and Llama. This will be a truly agentic system, it will use the ReAct framework, meaning it will think step by step, perform reasoning, take actions autonomously, and reflect before the next move. It will also be able to perform real time web searches using Exa, gather insights, and generate professional reports without being told exactly what steps to take. Then, in the second project, we are going to build AI procurements & risk control agents using Openrouter and DeepSeek. This will include multi agent autonomous collaboration. A Procurement Manager Agent will create a procurement plan, and then a Risk Analyst Agent will autonomously review the plan. These two agents will interact, debate, and refine the plan together without human intervention, ensuring both cost effectiveness and risk mitigation. Following that, in the third project, we are going to build AI business proposals negotiator agents using Mistral AI and Mailjet. This agent will consist of three fully autonomous agents, a legal agent, a benchmark agent, and a negotiation agent. They will review proposals, benchmark against competitors, and negotiate terms. The Negotiation Agent will also send counter offer emails autonomously using Mailjet. In the fourth project, we are going to build an AI pricing optimization agent using Groq and Gemma. This AI agent will help us to autonomously discover and optimize product prices. Firstly, it will perform a web search to gather market price ranges. Then, two autonomous agents will debate, one will argue for setting a higher price, while the other will argue for a lower price. They will continue their discussion until they reach an optimal price agreement and all of these happen without human direction. Lastly, at the end of the course, for the fifth project, we are going to build an AI hiring and talent management agent using Gemini and Mailjet. This agent will act as a fully autonomous HR manager. It will generate job descriptions, analyze submitted resumes, and rank candidates. In addition, the agent will also send invitation emails via Mailjet, draft technical interview questions, and even schedule and send meeting links.Firstly, before getting into the course, we need to ask this question to ourselves, why should we build autonomous AI agents? Well, here is my answer, autonomous AI agents can help us to automate repetitive tasks, reducing the need for constant human involvement. They also help to enhance efficiency and productivity by performing complex workflows and ensuring tasks are completed on time.Below are things that you can expect to learn from this course:Learn the basic fundamentals of agentic AI, such as getting to know its use cases, how it works, and the difference between regular AI and agentic AILearn how to build AI research assistant and report generator agent using Groq and LlamaLearn how to build AI procurement and risk control agent using Open Router and DeepSeekLearn how to build AI business proposal negotiator agent using Mistral and MailjetLearn how to build AI pricing optimization agent using Groq and GemmaLearn how to build AI hiring and talent management agent using Gemini and MailjetLearn about prompt engineering and context engineeringLearn how to create function to interact with Llama and set up Groq APILearn how to design and implement ReAct promptingLearn how to create function to generate research reportLearn how to create function to interact with DeepSeek and set up Open Router APILearn how to build AI procurement manager agent and AI risk analyst agentLearn how to create functions to send email and extract text from PDFLearn how to create functions to interact with Mistral AILearn how to create AI legal agent, AI benchmark agent, and AI negotiation agentLearn how to create functions to perform web search and interact with LLMLearn how to create multi agent system using Groq and GemmaLearn how to create AI agents capable of automatically generating job description and meeting linkLearn how to create AI agents capable of analyzing resumes, writing technical interview questions, and drafting emailLearn how to create autonomous HR manager agent

Certified Infra AI Expert: End-to-End GPU-Accelerated AI

Vivian Aranha

The Certified Infra AI Expert: End-to-End GPU-Accelerated AI Systems Training is a comprehensive, hands-on program designed for AI engineers, developers, and system architects who want to master the NVIDIA GPU ecosystem and build production-ready AI solutions from the ground up. Whether you’re working with data center GPUs like the A100 and H100, deploying edge AI on Jetson Orin, or developing digital twins with Omniverse, this course takes you through every stage of the AI lifecycle — from model training to optimization, deployment, and cloud/edge integration.You’ll gain deep expertise in the NVIDIA AI Enterprise stack, learning how to set up GPU-powered infrastructure on AWS, Azure, and DGX Cloud. Through step-by-step labs, you’ll configure NVIDIA drivers, Kubernetes GPU nodes, and Helm charts for scalable AI workloads. The course covers NGC Registry workflows, showing you how to deploy AI containers, use pretrained models, and integrate NVIDIA DeepStream SDK for real-time video analytics and RAPIDS for GPU-accelerated data processing.We’ll dive into NVIDIA Triton Inference Server for high-throughput inference, TAO Toolkit for transfer learning and quantization, and TensorRT for model optimization. You’ll learn best practices for container security, licensing via NVIDIA License Server, and cloud-native AI DevOps using Kubernetes, Helm, and CI/CD pipelines.Specialized modules explore NVIDIA vertical SDKs such as:Metropolis for smart citiesRiva for speech AINeMo for NLPClara for healthcare AIMerlin for recommender systemsA highlight of the training is the Capstone Project, where you’ll design and deploy a complete AI solution using NVIDIA hardware and software. Choose between:Video surveillance with DeepStreamDigital twin simulation with OmniverseSmart edge AI with Jetson and IoT sensor fusionYou’ll integrate TensorRT optimization, Triton inference, and cloud-edge synchronization, delivering a project report, deployment pipeline, and demo video — essential portfolio pieces for demonstrating your skills.By the end of this course, you will be able to:Architect GPU-accelerated AI pipelines from data ingestion to deploymentImplement real-time AI systems with DeepStream, RAPIDS, and TritonOptimize AI models for performance and efficiency using TensorRTDeploy scalable AI solutions on cloud platforms and edge devicesIntegrate AI with digital twins, IoT sensors, and streaming pipelinesApply security and licensing best practices for enterprise AI environmentsUpon successful completion, you’ll earn the Certified NVIDIA AI Expert credential, validating your ability to design, optimize, and deploy AI solutions using the full NVIDIA technology stack. This certification sets you apart as a professional who can bridge AI research and real-world implementation, making you highly valuable in industries from autonomous systems to healthcare, finance, manufacturing, and beyond.If your goal is to become an end-to-end AI solutions architect with cutting-edge GPU acceleration skills, this is the definitive NVIDIA AI training program to get you there.

AI Engineer Explorer Certificate Course

School of AI

Are you ready to take your first step into Artificial Intelligence and become an AI Engineer? The AI Engineer Explorer Certificate Course is your gateway into the exciting and fast-growing world of AI, Machine Learning, and Data Science. Designed for beginners, this hands-on course equips you with the foundational skills you need to start your journey toward becoming a skilled AI developer or AI product builder.In this course, you will begin with Python Programming Basics for AI. Python is the most popular programming language in the AI world today. You will learn how to write clean Python code, understand variables, loops, functions, and object-oriented programming—laying the groundwork for building real AI applications.Next, you’ll dive into Data Science Essentials for AI, where you will explore data preprocessing, data visualization, and exploratory data analysis (EDA) using tools like Pandas, NumPy, and Matplotlib. Understanding how to work with data is critical in AI, and this section ensures you gain practical, job-ready experience.Then, you’ll master the Mathematics for Machine Learning and AI—a core pillar for any serious AI professional. We break down the essentials of linear algebra, calculus, and matrix operations in a way that is intuitive and application-oriented, helping you build strong analytical thinking.You will also cover Probability and Statistics for Machine Learning, which is crucial for understanding how AI models learn from data. Topics include Bayes’ Theorem, distributions, standard deviation, confidence intervals, and hypothesis testing—all taught with AI-centric examples that make complex concepts feel natural.Finally, you'll step into the world of Machine Learning itself. In the Introduction to Machine Learning, you’ll learn how algorithms like linear regression, classification, and clustering work under the hood. You’ll also use Scikit-learn to train and evaluate simple ML models, gaining firsthand experience in how machine learning pipelines are built.By the end of the AI Engineer Explorer Certificate Course, you’ll have a strong grasp of the core concepts of AI, and be well-prepared to move into more advanced topics like Deep Learning, Natural Language Processing, and AI product development. Whether you're a student, software developer, career changer, or tech enthusiast, this course gives you a structured, easy-to-follow path to build your AI foundation.No prior experience requiredHands-on projects includedCertificate of CompletionIdeal for AI beginners, data science aspirants, and future AI product managersTake your first step into the future—join thousands of learners and start your journey to becoming a certified AI Engineer today.

4.5•19.5K•Self-paced

FREE$105.99

Enroll

Certified Master in Agentic AI: A 52-Week Applied Program

About this course

Skills you'll gain

Available Coupons