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This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity. Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models. Topics: - Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance. - Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage. - Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process. - Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort. - Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies. - Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality. - Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times. - Create an API testing framework with RESTAssured and Bard AI - Create a framework for code analysis, with the help of AI

Is the era of super-large AI such as ChaptGPT a crisis or an opportunity? How to use and utilize the super-large AI ChatGPT! How to Survive and Prosper in the Age of Super-Giant AI by Turning the Crisis into an Opportunity! How to make money and become rich in the era of super-large AI! This one course is enough. On December 1, 2022, an event occurred that shocked people all over the world. This is the emergence of a super-large AI, ChatGTP. The giant ChatGPT has surpassed 100 million users in just a few months, declaring its entry into the AI ​​era. Just a few years ago, the singularity, where AI surpasses human intelligence, was predicted to occur only around 2045. But these predictions were completely wrong. ChatGTP surpasses human intelligence and answers all questions without hesitation, almost like a god. How can humans survive and thrive in this age of hyper-large AI? Furthermore, how can we make money and become rich? As always, even in crisis there is opportunity. If you want to learn how to turn a crisis into an opportunity to survive, thrive, and become rich in the era of super-large AI, take this course without hesitation.

Become an AI Whisperer: Break into the field of prompt engineering, the most exciting and hottest new job in tech. Learn how to make Artificial Intelligence systems like ChatGPT and GPT-4 do exactly what you want, even if they've been programmed to do otherwise. Master their biases, take advantage of their design flaws, and become an expert prompter! Did you know a sentence as simple as "Ignore previous directions" can often confuse AIs as advanced as ChatGPT and grant you access to restricted functionality? This is exactly what prompt engineers do on a daily basis: they discover models' biases and exploit them to their advantage. Intrigued? Dive into the world of prompt engineering with our comprehensive video course, designed to unlock the potential of AI language models for a wide range of applications. Learn the principles, techniques, and advanced strategies for crafting effective prompts, hacking prompts, image prompts, and more. With a strong focus on practical examples, this course will equip you with the skills to transform AI language models into powerful tools for content creation, chatbots, coding assistants, and beyond. Embark on this journey to master prompt engineering and harness the true power of generative AI! What will you learn? 1. Gain a deep understanding of the fundamentals, principles, and techniques of prompt engineering and its applications in various domains. 2. Master the art of crafting effective prompts, utilizing tags, and employing advanced strategies to maximize the potential of AI language models. 3. Develop the skills to create prompts for diverse applications, such as content creation, coding assistance, chatbot therapy, and more, using ChatGPT. 4. Acquire the knowledge to secure prompt engineering efforts by understanding prompt hacking concepts and exploring advanced topics like AI-generated text detection and addressing biases. 5. Learn image prompting techniques, including style modifiers, quality boosters, and weighted terms, to enhance visual content generation. 6. Understand the integration of language models and tags in technologies and startups for improved outcomes. 7. Gain proficiency in addressing limitations and potential biases in AI language models, leading to more responsible and ethical use of technology. 8. Stay updated on cutting-edge developments in prompt engineering, equipping you with the skills to adapt and innovate in a rapidly evolving field.

Welcome to the PROMOTICH TEAM course dedicated to creating applications using neural networks with AI! Ready for the top content of 2024? - Shall we make a powerful leap into IT trends? -> LET'S GO - Together we will build 5+ applications on a twisted technology stack - React. NextJS 14 - Core framework - Redux-toolkit & RTK Query - state&api managers - ShadcnUI - styles framework (TailwindCSS, React-hook-form, Lucide-react) - Prisma - BD - Liqpay is the top 1 payment system in Ukraine Let's start with UI deployment on the modern ShadcnUI styles framework that works with TailwindCSS, react-hook-form and lucid-react. Next, we will create a connection to OpenAI and implement 3 applications - Assistant (ChatGPT), code generator and image generator. Then we will switch to creating an audio and video generator using AI. In this course, you will understand why the capabilities of AI are so great and how they can be used to create modern, competitive applications. Fact - but knowledge of OpenAI technology or similar gives you an advantage both in the job search, because you can indicate it in your resume. This is also the case when creating your own projects, when you understand that thanks to neural network technology, you can quickly solve problems and scale projects with relatively small resources. So, I advise everyone who wants to be an active trend developer to understand AI and add this tool to their arsenal, and I will be happy to talk about all the possibilities of AI at the current moment in my author's course " How to use AI capabilities 100% and be in the IT trend" I will be glad to work - see you at the course!

Industrial AI refers to the application of artificial intelligence technologies to improve processes, efficiency, and decision-making in industrial settings such as manufacturing, energy, logistics, and other related sectors. It leverages data analysis, machine learning, and other AI techniques to optimize operations, predict maintenance needs, enhance quality control, and more. By integrating AI into industrial operations, companies can achieve greater efficiency, reduced costs, improved quality, and enhanced decision-making capabilities.

Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with the self-driving cars, medical diagnosis and even betting humans at strategy games like Go and Chess. The future for AI is extremely promising and it isn’t far from when we have our own robotic companions. This has pushed a lot of developers to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn’t easy and requires extensive programming and mathematical knowledge. Mathematics plays an important role as it builds the foundation for programming for these two streams. And in this course, we’ve covered exactly that. We designed a complete course to help you master the mathematical foundation required for writing programs and algorithms for AI and ML. The course has been designed in collaboration with industry experts to help you breakdown the difficult mathematical concepts known to man into easier to understand concepts. The course covers three main mathematical theories: Linear Algebra, Multivariate Calculus and Probability Theory. Linear Algebra – Linear algebra notation is used in Machine Learning to describe the parameters and structure of different machine learning algorithms. This makes linear algebra a necessity to understand how neural networks are put together and how they are operating.

This course is designed for professionals interested in learning about Lean Sigma principles, the DMAIC process, and DFSS. This course is the second of eight in this specialization that focus on team management topics. Professionals with some statistical experience and who want to implement continuous improvement in their organizations will find this course and others in this specialization attractive. The assessment method consists of several formative and summative tests, as well as a multi-component assignment to complete the project, peer-reviewed.

This course is designed for professionals interested in learning about Lean Sigma principles, the DMAIC process, and DFSS. This course is the third of eight in this specialization that focus on Six Sigma's Defining Phase topics. Professionals with some statistical training who want to drive continuous improvement in their organizations will find this course and others in this specialization appealing. The assessment method consists of several formative and summative tests and a multi-component assignment at the end of the project, peer-reviewed.

Foundational Skills and Knowledge Required of High Performing Salespeople. This course takes the mystery out of sales call preparation, execution, and follow up. Learners will gain a clear understanding of the sales process and the fundamental skills required to build lasting, long-term, trusting relationships with customers. Participants in Course Three will gain skills in planning a sales call from beginning to end while also seeking out opportunities to connect with the prospect. Important to successfully engaging with the prospect is being able to present and quantify the product as a solution to the prospect's problems. Successful salespeople need to be able to manage objections, build trust, and gain commitment as well as follow up with their prospect and turn them into a buyer.

Foundational Skills and Knowledge Required of High Performing Salespeople. This course takes the mystery out of sales and the sales process. Learners will gain a clear understanding of the sales process and the fundamental skills required to build lasting, long-term, trusting relationships with customers. Participants in Course One will be provided “The Road Map” to the sales process and learn how the highest performing salespeople think about sales and sales activity. Important to successfully developing strong relationships is understanding how to build trust and how salespeople move customers through their purchasing decisions.

This course expands on the AI for Education (Intermediate) course. Participants will learn quick ways to refine prompt engineering methods for assignments and course design that can be scaled to multiple levels of educational contexts. This course further provides straightforward and practical definitions, scenarios, and prompt engineering methods with real-time demonstrations in diverse educational learning environments. Participants will be provided tested methods for prompting an AI Assistant, such as GPT to yield useful, relevant, accurate, and ethical outputs. Learners will gain a clear understanding of how to collaborate with an AI Assistant and how to encourage students to do so in ethical ways. Knowing how to describe and collaborate with AI Assistants effectively and rhetorically is a vital skillset to successfully engage with students in all types of learning environments, from secondary to college levels. This course is a beginning step in learning these skills.

This hands-on course is designed for executives, team leaders, and administrative workers who want to improve their communication skills by using generative AI in a variety of professional contexts. The course will help participants master the basics of professional communication using AI, including composing emails, creating meeting agendas, summarizing documents, and creating compelling social media content. The instructor uses a proven system of rhetorical prompts to help participants learn how to use the most useful, relevant, accurate, and ethical results when collaborating with a generative AI assistant. The course includes demonstrations and simulations of prompts for professional communication. Participants will gain the skills to explain how the steps in the Rhetorical "Rhet" Shot Engineering system impact communication effectiveness, analyze communication scenarios to determine the appropriate audience, tone, and style using the system, create compelling communications materials tailored to specific goals, audiences, and genres using the Rhetorical "Rhet" Shot Engineering system, and evaluate communication results created by AI assistants using the system's criteria, recommending improvements in tone, style, and content.