AWS Lambda - from ZERO to HERO

Disclaimer: This course is not sponsored by, affiliated with, or endorsed by (ISC)². It is an unofficial preparation resource created for learning purposes only.The Certified Cloud Security Professional (CCSP) credential is one of the most respected certifications in the field of cloud security. Earning it demonstrates advanced knowledge of cloud architecture, security, compliance, and risk management. This course provides unofficial CCSP practice tests designed to help you prepare for the exam with confidence.The CCSP exam evaluates your ability to design, manage, and secure data, applications, and infrastructure in the cloud. By practicing with these tests, you will strengthen your understanding of the six CCSP domains, which include cloud concepts, data security, infrastructure security, application security, operations, and compliance.Exam Details:Certification: Certified Cloud Security Professional (CCSP) – by (ISC)²Format: Multiple choice questionsNumber of questions: 125Duration: 3 hoursPassing Score: 700/1000This course contains multiple sets of CCSP practice exams, each carefully designed to reflect the style and difficulty level of the official exam. Every question includes a detailed explanation to help you understand the correct answer, review cloud security concepts, and reinforce your knowledge.Key domains covered in the practice tests include:Cloud concepts, architecture, and designCloud data security and lifecycle managementCloud platform and infrastructure securityCloud application securityCloud security operationsLegal, risk, and compliance in cloud environmentsBy completing these unofficial CCSP practice tests, you will be able to mea

Are you ready to prepare for the Salesforce Certified Sales Cloud Consultant exam ?The Salesforce Certified Sales Cloud Consultant program is designed for internal or external consultants who have experience implementing Salesforce Sales Cloud solutions in a stakeholder-facing role. The Salesforce Certified Sales Cloud Consultant is able to successfully design and implement Sales Cloud solutions that meet customer business requirements, are maintainable and scalable, and contribute to long-term customer success. Some examples of concepts the successful candidate should understand include:Designing sales and marketing solutions to meet business requirementsDesigning applications and integrations that maximize user productivityManaging data and design analytics to track key Sales Cloud metricsUnderstanding common artificial intelligence (AI) use cases within Sales CloudCommunicating solutions to stakeholdersTranslating requirements into reports and dashboards (analytics, key performance indicators or KPIs)Understanding use cases for sales engagement, opportunity pipelines, accounts, contacts, and leads intelligenceHaving project management knowledgeA Salesforce Certified Sales Cloud Consultant designs and deploys solutions that support customer business processes and requirements using Salesforce applications. The consultant has experience designing solutions that optimize Sales Cloud functionality and can lead the implementation of these solutions within an organization.Exam OutlineSales LifecycleImplementation StrategiesPractical Application of Sales Cloud ExpertiseConsulting PracticesData Management

Start your journey into Artificial Intelligence without needing any coding skills. This Data Annotation Masterclass is designed to help you understand how AI models are trained using real-world data and how you can become a skilled data annotator.In this course, you will learn image annotation techniques such as bounding boxes, polygons, and keypoints. You will also explore video annotation, including object tracking and frame-by-frame labeling. Advanced topics like semantic segmentation and LiDAR annotation are covered to give you industry-relevant skills. You will work with tools like CVAT and Label Studio and understand quality metrics such as precision, recall, and accuracy.This course is fully practical, allowing you to work on real datasets and follow workflows used in AI companies. In addition to technical skills, you will learn how to build a portfolio, prepare a resume, and apply for data annotation jobs or start freelancing.Whether you are a beginner, student, or professional looking to transition into AI, this course provides a clear and structured path. By the end, you will be ready to contribute to AI projects and begin your career in data annotation. You will also gain confidence in to handling real tasks and understanding clients requirements effectively.

All questions in this course are carefully aligned with the GitHub Copilot certification objectives. By covering all seven domains in detail, this course ensures that you’re fully prepared to approach the real exam with confidence and strengthen your understanding of responsible AI, Copilot plans and features, data handling, prompt engineering, developer AI use cases, testing workflows, privacy fundamentals, and context exclusions.This course features a collection of hand-crafted questions specifically designed to replicate the experience of taking the actual GitHub Copilot certification exam. The questions are structured to reflect real-world AI questions specifically designed to replicate the experience of taking the actual GitHub Copilot certification exam. The questions are structured to reflect real-world-assisted development scenarios, helping you develop the skills needed to use Copilot responsibly, understand its features, improve prompts, apply Copilot in coding workflows, generate tests, review suggestions, and manage privacy-aware development practices.By working through these practice tests, you’ll not only strengthen your GitHub Copilot knowledge but also build confidence in your ability to manage the exam format, understand scenario-based questions, and choose the best answer under exam conditions.This isn’t just about hoping you’re ready—it’s about knowing you’re ready. By working through these practice exams and consistently achieving a score of 85–90% or higher, you’ll gain the confidence to sit for the official certification test and improve your chances of passing on your first attempt. This means avoiding unnecessary stress, saving valuable study time, and focusing only on the areas where improvement is needed.But the benefits don’t stop there. After completing each practice test, you’ll receive detailed feedback for every single question. This includes explanations of why the correct answer is correct, why the other options are incorrect, and wh

Disclosure: This course contains the use of artificial intelligence.AI is transforming every industry — and attackers are already exploiting it. This course is your complete, practical, and job-ready guide to mastering AI security from the ground up. Whether you're a security engineer, cloud professional, or risk practitioner, this course gives you the skills, tools, and frameworks to secure modern AI systems with confidence.No prior AI experience needed. We start from the basics and take you all the way to advanced threat modeling for agentic AI systems.What you will learn and practice:AI ML Fundamentals — Understand how AI and ML models work, model types, and architectures so you can think like both a builder and an attackerModel Security Threats Controls — Defend against prompt injection, adversarial attacks, model poisoning, jailbreaks, and more with real-world controlsData Security — Detect and prevent training data poisoning, data leakage, membership inference, and model inversion attacksAI Application Stack Security — Secure frontend, backend, and middle-layer (MCP) architectures against AI-specific attack vectorsSupply Chain Model Code Security — Use industry tools to secure your AI pipeline, dependencies, and model provenance end to endAI Governance Frameworks — Apply NIST AI RMF, ISO 42001, and the EU AI Act to manage and audit AI risk inside your organizationHands-On Threat Modeling — Perform real agentic AI threat modeling using the MAESTRO framework in a guided, practical case studyWhy this course stands out:Built specifically for security professionals entering the AI security domainHands-on lectures, real tools, and a capst

Prepare for success in your Certified Information Privacy Professional/Europe (CIPP/E) certification with my comprehensive CIPP/E Practice Questions course. This program is designed to help you test your knowledge, hone your skills, and build confidence in the critical areas of European data protection and GDPR.The CIPP/E certification is a prestigious credential that signifies expertise in European data protection laws and regulations. To earn this certification, it's essential to not only understand the concepts but also practice applying them effectively. This course offers a rich collection of practice questions and scenarios that mirror the types of challenges you'll encounter in the actual CIPP/E exam.Key Highlights:Thorough Coverage: Our practice questions cover all the major topics required for the CIPP/E certification, including GDPR principles, data subject rights, accountability, compliance, and international data transfers.Realistic Scenarios: The questions are designed to simulate real-world situations, providing a practical understanding of how GDPR principles are applied in various scenarios.Comprehensive Feedback: Receive detailed explanations and feedback for each question, helping you understand the correct answers and reinforcing your knowledge.Self-Paced Learning: Study at your own pace, on your schedule. You can practice the questions as many times as needed to build your expertise.Exam Readiness: Gain the confidence and proficiency required to pass the CIPP/E exam with flying colors.