AWS LocalStack Hands-On: Build & Test AWS Services Locally

Get ready to unleash the full potential of ChatGPT, the cutting-edge language model from OpenAI. Elevate your communication, writing, and business skills to new heights. This course is jam-packed with techniques and strategies for using ChatGPT in a variety of ways, like penning heartfelt letters to your significant other, acing job interviews, crafting professional emails, and generating writing prompts that will knock your socks off.But it's not just about personal use - you'll also learn how to use ChatGPT to come up with fresh business ideas, get expert feedback on opportunities, and offer a wide range of services like content creation, language translation, and copyrighting. And for the pros out there, we've got you covered too with advanced tactics like using ChatGPT to polish up resumes, condense long texts, build extensions without coding, and even use ChatGPT to help with Excel and develop Excel macros.Whether you're a seasoned pro looking to boost your productivity or a beginner eager to learn new skills, this course is guaranteed to give you a comprehensive understanding of ChatGPT and its capabilities. With the knowledge and skills you'll gain, you'll be able to use ChatGPT to streamline your work, improve your written communications and open the door for new opportunities for you and your career or business.

In this hands-on course, you will explore the power of AutoGen to build and customize multi-agent systems for automating complex workflows. This comprehensive guide will take you through the fundamental concepts of multi-agent systems, effective implementation strategies, and best practices for using AutoGen. You will learn how to configure and deploy various types of agents, such as AssistantAgent and UserProxyAgent, and see how these agents can collaborate to accomplish sophisticated tasks.What You Will Learn:Multi-Agent Systems: Understand the core principles of multi-agent systems and their benefits in automating complex workflows.Agentic Design Patterns: Learn about different agentic design patterns and how to apply them to solve real-world problems efficiently.Automation of Research Tasks: Discover how to automate the retrieval, analysis, and visualization of research papers, enhancing productivity and insight generation.Advanced NLP and LLM Techniques: Gain practical knowledge in configuring and utilizing large language models (LLMs) and natural language processing (NLP) techniques to process and analyze textual data.Visualization and Data Presentation: Master the creation of visual tools such as bar charts to present your analysis results effectively.Enterprise Use Cases: Explore enterprise-level use cases and best practices for integrating AutoGen into professional workflows.If want to master AutoGen and build multi-agent systems that are highly customizable, then this course is for you.

What is Jira?Jira is a software tool for project management and for tracking assignments. Jira is widely used in projects with an agile scrum methodology. Jira itself is very flexible, so it's useful in a variety of environments, not just in software development or Scrum. Jira task types and workflows are customizable, allowing for customization for almost any project management need. Configuring and setting Jira is also very easy, it can be done in just a few minutes.Jira provides a free, internet-accessible cloud version for small teams. Even though it's free, its features are complete. Jira can also be integrated with other applications, such as Slack, Github, or others.About Jira in This CourseIn this course, you will learn how to use Jira. This course built based on real-life experience of using Jira in the workplace. When you are done with this course, you will be ready to use Jira in the job. In this course, you will learn to practice using Jira in an agile scrum method. With unique way of learning, where the course is actually practiced. It will make it easy for you to understand Jira.In this Jira course, you will learn:register Jira (free)create and configure issues (tasks) for user stories, epics, roadmaps, subtasks, and bugshow to use Jira at the start of a sprint, during a sprint, or at the end of a sprintUse Jira's built-in agile reports (burndown chart, velocity)create a custom dashboard for reportingusing the issue navigatorJira issue customizationJira workflow customizationconnecting Jira with Slackconnecting Jira with GithubYou only need to buy this course once, and if there is an update in the course, you will get an update for free!

Are you preparing for a certification exam in Artificial Intelligence or simply want to test your AI knowledge?This practice test course offers 2 full-length mock exams with AI-900 questions each, designed by experts to reflect real-world AI exam difficulty. Whether you're preparing for certifications like AI-900, TensorFlow Developer, or an academic assessment, these tests will help you benchmark your progress and boost your confidence.What You’ll Get: multiple-choice questions across 2 practice testsAligned with key domains: Machine Learning, Deep Learning, NLP, Reinforcement Learning, Computer Vision, and AI FundamentalsDetailed explanations for each answer optionTimed practice environment to simulate real test conditionsReview mode to understand concepts and identify weak spotsRandomized answer ordering (when taken via Udemy test mode)Covered Domains:Each question is tagged with a domain, helping you focus your learning:Machine LearningDeep LearningNatural Language Processing (NLP)Reinforcement LearningComputer VisionAI FundamentalsTips to Get the Most Out of This Course:Take each test in Timed Mode to simulate real examsUse Review Mode to learn from mistakesTrack scores by domain to focus your revisionRetake tests multiple times to reinforce memory and masteryExpected Outcome:After completing this course, you’ll:Understand core and advanced AI concepts clearlyFeel confident tackling certification and job assessment questionsBe able to identify and fix your AI knowledge gaps

This is a masterclass on data communication and computer networking. The basic concepts from the beginning to the end are elaborately explained in a classroom fashion with a whiteboard and pen. The course is divided into 8 modules each having a set of lectures followed by a practice quiz. Section 1 teaches data communication including components, data types, data flow, a brief overview of OSI, network devices, network connections, and the history of networks. Section 2 teaches network models including layered tasks in communication, the OSI reference model and its layers, TCP/IP protocol suite, and touches two protocols viz., TCP and UDP. Section 3 - Section 8 teaches the various layers and their functionalities, protocols, and operations of the OSI model such as Physical, Data Link, Network, Transport, and Application. Under the physical layer, the learners are introduced to signals, data, signal classification, transmission impairments, data rate limits, and performance. Some of the protocols that are taught here are HTTP, FTP, SMTP, TCP, UDP, PPP, media access control, channelization, and controlled access mechanisms together with unicast and multicast routing protocols, and intradomain interdomain routing protocols. In-depth analysis of IP addressing and address mapping techniques are included. The course completion quiz at the end will test the learner's knowledge.

This exam measures your ability to accomplish the following technical tasks: design solutions that align with security best practices and priorities; design security operations, identity, and compliance capabilities; design security solutions for infrastructure; and design security solutions for applications and data. As a Microsoft cybersecurity architect, you translate a cybersecurity strategy into capabilities that protect the assets, business, and operations of an organization. You design, guide the implementation of, and maintain security solutions that follow Zero Trust principles and best practices. As a cybersecurity architect, you continuously collaborate with leaders and practitioners in IT security, privacy, and other roles across an organization to plan and implement a cybersecurity strategy that meets the business needs of an organization.Skills measured:Design solutions that align with security best practices and priorities.Design security operations, identity, and compliance capabilities.Design security solutions for infrastructure.Design security solutions for applications and data.SC-100 is a prerequisite for Microsoft's Cybersecurity Architect Expert designation. Expert candidates must also take one of four other prerequisite exams -- SC-200, SC-300, AZ-500 or MS-500. The Expert certification showcases that accredited individuals know the SC-100 exam topics, as well as demonstrate experience in identity and access, platform protection or security operations.