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Agentic AI for Beginners: Build Smart AI Agents from Scratch

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“This course contains the use of artificial intelligence”Welcome to Agentic AI for Beginners: Build Smart AI Agents from Scratch — a practical, beginner-friendly course designed to help you understand and build the next generation of intelligent AI systems. The world of AI is rapidly evolving from simple chatbots and prompt-based tools into autonomous AI agents that can think, plan, reason, use tools, remember information, and complete tasks with minimal human guidance. This new era is called Agentic AI, and it is quickly becoming one of the most important areas in modern technology.

In this course, you will learn how modern AI agents actually work behind the scenes — without getting overwhelmed by complex mathematics or enterprise-level infrastructure. Instead of focusing only on theory, this course takes a highly practical approach where you will build real beginner-friendly projects step by step. You will explore the foundations of Large Language Models (LLMs), understand how agents make decisions, learn how memory systems work, and discover how AI agents can interact with tools, APIs, workflows, and external knowledge sources.

You’ll also understand how modern AI systems combine reasoning, memory, actions, and automation to create intelligent assistants capable of solving real-world problems. Throughout the course, you will build multiple hands-on projects including:A beginner AI chatbotA memory-enabled AI assistantA tool-using autonomous AI workflowA document-aware AI system using RAG (Retrieval-Augmented Generation)A beginner multi-agent systemReal-world AI productivity and automation projectsThis course is specifically designed for beginners who want to move beyond simple prompting and start thinking like an AI agent developer. You’ll learn how agents:Understand goalsPlan tasksUse memoryAccess toolsPerform actionsCollaborate with other agentsAutomate workflowsYou’ll also explore exciting topics like:Prompt EngineeringMulti-Agent SystemsKnowledge BasesAI AutomationAutonomous WorkflowsAI SafetyContext-Aware AIAgent OrchestrationFuture AI SystemsBy the end of this course, you will have a strong understanding of how modern Agentic AI systems work and how to build your own beginner-friendly AI agents from scratch using practical tools and workflows.

Whether you are a student, developer, business professional, content creator, or simply curious about the future of AI, this course will help you gain practical, real-world skills in one of the fastest-growing areas of technology. The future of AI is not just chatting with models — it is building intelligent systems that can think, act, and automate work autonomously. Start your journey into Agentic AI today and learn how to build the smart AI systems of tomorrow.

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This course contains the use of artificial intelligence. Lectures are narrated by Katie, an AI voice, and AI tools helped produce the scripts, animations, quizzes and the promo video, where Vinay’s footage and voice are AI-generated from his own photos and recordings. The CodeSierra team curated the curriculum, and every notebook was run and tested.This course goes past the demo. You build something complete: a retention and support assistant for NimbusTel, a fictional telecom company. A support agent types a customer ID. The assistant looks up the customer, predicts their churn risk (how likely they are to leave) with a machine learning model, searches the company's policy documents and drafts a retention offer that quotes those policies and passes the company's offer rules. The agent reviews it, then approves and saves it.To get there, you learn both halves of modern AI and how to join them.Predictive AI. You start with Python from scratch, then explore and clean data with pandas, train and evaluate models with scikit-learn, and handle the problems that break real projects: data leakage, imbalanced classes and accuracy scores that hide a useless model. You build a churn model on a public dataset of 7,043 telecom customers.Deep learning and generative AI. You build neural networks in PyTorch, see how transformers and large language models work, and learn why they hallucinate. You write prompts that hold up, call models from Python through an API, and get reliable structured outputs.AI applications. You build retrieval-augmented generation (RAG) over documents, give a model tools to call, add guardrails against prompt injection, test your app with evaluation cases, and put a Gradio interface on it.Responsible AI. You measure bias in your own model, explain its predictions with SHAP, and learn which data should never leave your machine.The capstone ties it all together. You design, build, test and deploy the NimbusTel assistant to Hugging Face Spaces (or a free temporary public link), and finish with a portfolio project you can explain in an interview.How the course works. 18.6 hours of video across 10 modules. Short animated lectures explain each idea; hands-on lectures build notebooks cell by cell with real outputs. Every hands-on lecture ends with a practice exercise, and every module ends with a quiz. Everything runs in Google Colab in your browser. Modules 6–10 use the OpenAI API (a few US dollars of credit covers the whole course). Lecture 6.15 shows how to run chat calls on an open model; the search, image and capstone lectures use the OpenAI API.

Long-Running AI Agents: Patterns for Agents That Run Hours

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This course contains the use of artificial intelligence.Building an AI agent that works for five minutes is easy. Building one that works for five hours, unattended, is a different problem.Leave an agent running overnight and it breaks in predictable ways. Its context fills up and it starts mixing up customers. The server restarts at 2 AM and nobody knows whether that refund went through. It gets stuck in a loop and burns money until morning. It marks work as "done" when nothing was done. And sometimes it takes an action nobody can undo.This course teaches the design patterns that prevent each of these failures. They are the same patterns behind today's coding agents, background agents and durable workflow engines, explained clearly enough that you can apply them in any stack.One story, one night, one agentThe whole course follows Nightshift, an agent working the night shift at Pebblecart, a small online store with 600 support tickets left over from Black Friday. Nightshift has real tools: it looks up orders, reads the refund policy, emails customers and issues refunds.The first night goes badly. Section by section, you give Nightshift the patterns it needs, and in the last lesson it finishes a full night: tickets resolved, risky refunds waiting for approval, hard cases handed to humans, and a sensible bill.The 5 ways long-running agents break, and what you'll learn to fix themForgetting: compaction, clearing tool results, just-in-time retrieval, sub-agents, progress files, structured work lists, goal anchoring.Dying: checkpoints, event logs and replay, idempotent tools, workflow engines, suspend and resume with webhooks, work queues with leases.Getting stuck: retries with backoff, loop detection, token and money budgets, stop conditions, circuit breakers and fallback models.Lying: verification with facts instead of the agent's word, evaluator–optimizer reviewers, overnight reconciliation.Acting recklessly: approval gates, async human approval, escalation, and defending against prompt injection in customer emails.You'll also learn when multiple agents beat one, how to hand off work between agents, how to trace an 8-hour run, and how to cut the cost of a night's work.What makes this course differentPatterns, not a framework. Everything applies whether you use the Claude Agent SDK, LangGraph, Cloudflare Agents, Temporal, Inngest or your own loop. Each lesson ends with where the pattern already exists in popular platforms.Short, focused lessons. Every video is 3 to 6 minutes and teaches one pattern.Animated diagrams instead of slides. Every idea is drawn and animated step by step, so you can see the mechanism, not just hear about it.Pseudocode code cards. Each pattern ends with a short pseudocode card you can translate into any language. The harness grows lesson by lesson, with new lines highlighted.No setup, no repo to maintain. Watch on your phone, on the train, or between meetings.Also includedA scenario quiz at the end of every section, based on real incidents from Nightshift's nightsA final assignment: design the harness for your own agent on one pagePattern cards (PDF): one card per pattern with the problem, diagram, pseudocode and trade-offsPattern map (PDF): every pattern on one page, organized by failure modeOvernight checklist (PDF): what to check before you let an agent run unattendedBy the end of this course, you'll be able to look at any agent, predict how it will fail on a long run, and choose the patterns that keep it on track.Enroll now and give your agent a night shift it can survive.This course is independent and is not affiliated with or endorsed by any of the companies or products mentioned. Pebblecart and Nightshift are fictional names created for this course.

Build a simple React App from scratch

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Through this course, you will learn how to build powerful and responsive web applications using the latest React technology, while leveraging the power of Vite to streamline your development process. Whether you're a beginner or an experienced developer looking to take your skills to the next level, this course has something for you. In fact, this course covers everything you need to know to start building your own React projects from scratch.You will learn how to set up a Vite environment and use it to develop and deploy a simple React application, as well as how to work with components and UI additions with Chakra. With a focus on best practices and real-world examples, this course will give you the skills and knowledge you need to build high-performance React applications with Vite.You will learn the basics of React, including JSX, components, and state management, as well as the Vite development environment, which allows for fast and efficient development with React.With hands-on coding exercises, real-world projects, and expert instruction, you'll be ready to build powerful, responsive web apps with React and Vite. Start learning the fundamental knowledge today to becoming an amazing React developer in the near future!

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Agentic AI for Beginners: Build Smart AI Agents from Scratch

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