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AI Engineering Bootcamp: Apps, RAG, Agents & MCP

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Move beyond basic chatbot tutorials and learn how to build complete, practical, and production-ready AI applications in just 14 days. AI Engineering Bootcamp: Apps, RAG, Agents & MCP is a hands-on, project-based course designed to take you from the foundations of Generative AI to advanced AI agents, Retrieval-Augmented Generation, Model Context Protocol, multi-agent systems, and production AI engineering. You will begin by understanding how Large Language Models, prompts, tokens, responses, and AI application architectures work.

You will build your first terminal and Streamlit AI chatbot, create reusable LLM service layers, and learn how to connect Python applications to cloud-based or local AI models such as OpenAI and Ollama. The course then introduces practical prompt engineering techniques. You will learn how to structure prompts using roles, tasks, context, rules, examples, and output formats.

Through a hands-on prompt playground, you will experiment with reusable prompt templates and understand how better prompts lead to more reliable AI applications. Next, you will build real-world projects such as an AI Resume Analyzer, a PDF Chat Assistant, and an Autonomous Research Agent. You will learn how to process documents, extract text, create embeddings, split content into chunks, store vectors, and perform semantic search using tools such as ChromaDB.

You will explore both beginner and advanced RAG systems. Topics include vector databases, hybrid retrieval, reranking, metadata filtering, query transformation, Knowledge Graph RAG, and Agentic RAG. You will use these concepts to build an enterprise-ready AI Knowledge Assistant capable of answering questions from business documents and private data.

The course also provides a deep introduction to AI agent engineering. You will learn how agents combine LLMs, tools, memory, planning, workflows, and state to complete complex tasks. You will build autonomous agents that can research topics, generate reports, use external tools, interact with websites, and evaluate their own outputs.

You will also build multi-agent AI systems using orchestration patterns such as planner, researcher, analyst, writer, and reviewer. You will explore LangGraph, agent communication, shared state, task delegation, and enterprise multi-agent architectures. A major part of the course focuses on the Model Context Protocol, commonly known as MCP.

You will learn how MCP allows AI applications to connect securely with tools, files, APIs, databases, and enterprise systems. You will build your own MCP server and understand how to design multi-server MCP ecosystems. Additional topics include browser agents, multimodal AI, vision models, voice AI, evaluation, monitoring, observability, guardrails, responsible AI, governance, deployment, and production reliability.

By the end of this course, you will have built a strong portfolio of AI engineering projects, including chatbots, RAG applications, autonomous agents, browser automation systems, MCP tools, multi-agent workflows, and a complete production AI platform. This course is ideal for Python developers, AI enthusiasts, software engineers, data professionals, students, and anyone who wants to become an AI Engineer, Generative AI Developer, RAG Developer, or Agentic AI Engineer through practical, hands-on learning.

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“This course contains the use of artificial intelligence”The demand for skilled AI Engineers is growing faster than ever as organizations race to integrate Artificial Intelligence, Large Language Models (LLMs), and AI-powered automation into their products and workflows. However, many professionals struggle to understand how modern AI systems are actually built and deployed in real-world applications. This intensive course, “Become an AI Engineer in Just 3 Days,” is designed to bridge that gap by teaching the practical skills required to design, build, and deploy modern AI applications.In this hands-on program, you will learn the core foundations of AI Engineering, focusing on the technologies that power today’s most advanced systems. Instead of spending weeks studying theory, you will build real applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI agents. By the end of the course, you will understand how to architect intelligent systems that combine models, data, and tools into scalable applications.The course begins with the fundamentals of LLM architecture, where you will learn how modern AI models work, how tokens and context windows influence model behavior, and how to design effective prompts that guide AI systems to produce reliable outputs. You will also learn how to interact with models using LLM APIs, allowing you to integrate AI capabilities directly into software applications.Next, you will move into one of the most important techniques used in production AI systems: Retrieval Augmented Generation (RAG). You will learn how to build systems that connect language models with external knowledge sources using embeddings, vector databases, and document retrieval pipelines. Through practical exercises, you will create a document chat system capable of answering questions using information from custom datasets. This is the same architecture used in many enterprise AI applications.The course then explores the rapidly growing field of AI agents. You will learn how to design systems that go beyond simple prompts and instead perform multi-step workflows, tool usage, and task planning. Using modern agent frameworks, you will build autonomous systems that can gather information, execute actions, and generate structured outputs. These capabilities represent the next evolution of intelligent applications.Finally, the course focuses on AI deployment and production engineering. You will learn how to deploy AI systems using FastAPI backends, create API endpoints, and expose your AI application as a scalable service. You will also explore essential topics such as guardrails, logging, monitoring, and cost optimization, which are critical for operating AI systems in production environments.Throughout the program, you will complete hands-on projects that reinforce each concept and help you build a portfolio-ready application. By the end of the three days, you will have built and deployed a production-ready AI application that combines LLMs, RAG pipelines, and AI agent workflows.Whether you are a software engineer, data scientist, product builder, or technology leader, this course will equip you with the practical knowledge needed to start building real AI systems today. Instead of just learning about AI, you will gain the skills required to design, build, and deploy intelligent applications that can power the next generation of digital products.

Cybersecurity Fundamentals: Protecting Systems, Data & Users

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“This course contains the use of artificial intelligence”In today's connected world, cybersecurity is no longer just an IT responsibility—it's an essential skill for everyone. Every day, individuals and organizations face cyber threats ranging from phishing emails and ransomware attacks to data breaches, identity theft, and sophisticated network intrusions. Whether you're protecting your personal devices, supporting your organization, or preparing for a career in technology, understanding cybersecurity fundamentals is more important than ever. This course provides a practical, beginner-friendly introduction to the core concepts, technologies, and best practices used by security professionals to defend modern digital environments.Throughout this course, you'll build a strong understanding of the modern cyber threat landscape and learn how attackers exploit vulnerabilities in computers, networks, applications, cloud environments, and human behavior. You'll explore common threats including malware, ransomware, social engineering, phishing, and insider threats, while learning how organizations detect, prevent, and respond to these attacks. Rather than simply memorizing definitions, you'll gain practical knowledge of how cyber attacks occur and the defensive strategies used to stop them.You'll then move into the core technologies that keep organizations secure. Learn the fundamentals of network security, including firewalls, Virtual Private Networks (VPNs), network segmentation, secure Wi-Fi, and intrusion detection systems. Discover how operating systems and endpoints can be protected through system hardening, secure configurations, software updates, endpoint protection, and security best practices that significantly reduce risk.Identity is one of the most valuable assets in cybersecurity, and you'll develop a solid understanding of Identity and Access Management (IAM). You'll learn how authentication, authorization, Multi-Factor Authentication (MFA), password security, and the Principle of Least Privilege work together to protect users and organizational resources. These concepts form the foundation of nearly every modern cybersecurity program and are essential skills for both personal and enterprise security.Protecting sensitive information is another major focus of this course. You'll learn how organizations safeguard data using encryption, data classification, secure backups, Data Loss Prevention (DLP) strategies, and privacy best practices. You'll understand how data moves through systems, where risks exist, and how security controls help maintain confidentiality, integrity, and availability—the three pillars of information security.As businesses continue moving their infrastructure to the cloud, cybersecurity professionals must understand how to secure cloud environments. In this course, you'll explore the Shared Responsibility Model, cloud identity management, secure cloud storage, cloud security risks, and practical techniques for protecting cloud resources. You'll also learn the fundamentals of application security, including secure software development, API security, dependency management, and common web vulnerabilities that every technology professional should recognize.Security is not only about prevention—it's also about responding effectively when incidents occur. You'll gain an understanding of security monitoring, security logging, threat detection, and the complete Incident Response Lifecycle, including preparation, identification, containment, eradication, recovery, and lessons learned. These skills provide valuable insight into how security teams investigate and respond to real-world cyber incidents.One of the highlights of this course is its strong emphasis on hands-on learning. Instead of relying solely on theory, you'll complete practical projects that reinforce every major concept. You'll learn how to identify phishing emails and social engineering attempts, configure strong passwords and Multi-Factor Authentication, secure Windows or macOS systems using cybersecurity best practices, protect cloud storage with proper access controls, perform a basic security assessment of a small business environment, and create a comprehensive personal cybersecurity checklist for both home and professional use.Whether you're a complete beginner, an IT professional looking to strengthen your security knowledge, a student preparing for a cybersecurity career, or a business professional wanting to better protect your organization, this course provides a comprehensive foundation that you can immediately apply. The concepts taught throughout the course align with industry best practices and serve as an excellent stepping stone toward more advanced cybersecurity topics such as ethical hacking, penetration testing, cloud security, security operations (SOC), and incident response.By the end of this course, you'll have the confidence to recognize cyber threats, understand how modern security technologies work, implement practical defensive measures, and adopt a security-first mindset that helps protect systems, networks, cloud services, applications, data, and users in today's rapidly evolving digital world.

VMware EDU-1202 Spring Professional: Practice Tests 2026

Udemy Instructor

The VMware Spring Professional Certification (EDU-1202) is the most rigorous and widely respected credential in the entire Spring ecosystem — and one of the most technically demanding certifications available to Java developers anywhere. Unlike framework tutorials or project-based courses, the EDU-1202 tests the deep internals of the Spring Framework itself: how the container works, how beans are created and wired, how AOP proxies are applied, and how Spring Boot's auto-configuration decides what to configure and what to skip. It is the certification that separates engineers who use Spring from engineers who truly understand it.This practice test course is engineered to get you through that exam. It contains 300 exam-style questions organized into four full-length timed tests of 75 questions each — precisely calibrated to match the depth, format, and topic distribution of the official VMware EDU-1202 exam. These are not surface-level recall questions — they are designed to probe the same conceptual depth the real exam demands.Every question includes a thorough explanation of the correct answer and each wrong option — because at EDU-1202 level, understanding the precise mechanism behind every Spring behavior is what separates passing candidates from those who fall just short. Topics cover the complete exam blueprint: Spring container and application context internals, bean definition and lifecycle, dependency injection patterns and ambiguity resolution, Spring AOP and proxy mechanisms, Spring MVC architecture, Spring Boot auto-configuration conditions and custom starters, Spring Data and transaction management, Spring Security filter chain, Spring REST and content negotiation, testing strategies with @SpringBootTest, @WebMvcTest, and @DataJpaTest, Spring Boot Actuator, and externalized configuration with @ConfigurationProperties.The EDU-1202 has a well-documented history of catching experienced Spring developers off guard — because day-to-day Spring usage relies on annotations doing invisible work that the exam makes you explain explicitly. The timed practice test format forces you to articulate that invisible work under pressure, which is exactly the skill the certification — and senior Spring development — requires.Whether you are sitting EDU-1202 for the first time or returning after a previous attempt, this is the most targeted, efficient preparation available. Enroll today, take your first test, and find out exactly where you stand.

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AI Engineering Bootcamp: Apps, RAG, Agents & MCP

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AI Engineering Bootcamp: Apps, RAG, Agents & MCP

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

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3-Day AI Engineering Bootcamp - Become an AI Engineer

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