Вітаю у курсі присвяченному створенні додатків за допомогою нейромереж з AI від PROMOTICH TEAM!
Готові до топовога контенту 2024 року? - Зробимо потужний ривок у тренди IT? -> LET'S GO
Разом ми створимо 5+ додатків на сучаному технологічному стеку
React. NextJS 14 - Core framework
Redux-toolkit & RTK Query - state&api managers
ShadcnUI - styles framework (TailwindCSS, React-hook-form, Lucide-react)
Prisma - BD
Liqpay - топ 1 платіжна система в Україні
Почнемо з розгортання UI на сучасному styles фреймворку ShadcnUI який працює з TailwindCSS, react-hook-form та lucide-react. Далі створимо підключення до OpenAI та реалізуємо 3 додатки - Асистент (ChatGPT), генетор коду та генератор картинок. Потім переключимось на створення генератору аудио та відео за допомогою AI.
У цьому курсі ви зрозумієте чому можливості AI такі великі та як їх можна використовувати для того щоб створювати сучасні, конкурентноспроможні додатки.
Факт - але знання технології OpenAI чи схожих дає вам перевагу як у пошуку роботи, тому що ви можете вказати про це у своєму резюме. Так і при створенні власних проектів, коли ви розумієте що завдяки технологія нейромереж можна швидко вирішувати задачі та масштабувати проекти при відносно малих ресурсах.
Отже, я раджу всім хто хоче буде активним трендовим розробником розібратися у AI та додати цей інструмент до свого арсеналу, а я буде радий розказати про усі можливості AI на сучасний момент у своєму авторському курсі
"Як використовувати можливості AI на 100% та бути в тренді IT"
Буду рад попрацювати - до зустрічі на курсі!
Вітаю у курсі присвяченному створенні додатків за допомогою нейромереж з AI від PROMOTICH TEAM!
Готові до топовога контенту 2024 року? - Зробимо потужний ривок у тренди IT? -> LET'S GO
Разом ми створимо 5+ додатків на сучаному технологічному стеку
React. NextJS 14 - Core framework
Redux-toolkit & RTK Query - state&api managers
ShadcnUI - styles framework (TailwindCSS, React-hook-form, Lucide-react)
Prisma - BD
Liqpay - топ 1 платіжна система в Україні
Почнемо з розгортання UI на сучасному styles фреймворку ShadcnUI який працює з TailwindCSS, react-hook-form та lucide-react. Далі створимо підключення до OpenAI та реалізуємо 3 додатки - Асистент (ChatGPT), генетор коду та генератор картинок. Потім переключимось на створення генератору аудио та відео за допомогою AI.
У цьому курсі ви зрозумієте чому можливості AI такі великі та як їх можна використовувати для того щоб створювати сучасні, конкурентноспроможні додатки.
Факт - але знання технології OpenAI чи схожих дає вам перевагу як у пошуку роботи, тому що ви можете вказати про це у своєму резюме. Так і при створенні власних проектів, коли ви розумієте що завдяки технологія нейромереж можна швидко вирішувати задачі та масштабувати проекти при відносно малих ресурсах.
Отже, я раджу всім хто хоче буде активним трендовим розробником розібратися у AI та додати цей інструмент до свого арсеналу, а я буде радий розказати про усі можливості AI на сучасний момент у своєму авторському курсі
"Як використовувати можливості AI на 100% та бути в тренді IT"
Буду рад попрацювати - до зустрічі на курсі!
Dive into the world of artificial intelligence with "Mastering Bard AI: Google's Versatile Language Model". This comprehensive course is designed to unravel the intricacies of Bard AI, Google's pioneering language model that stands at the forefront of AI technology. Spanning over seven insightful sections, the course offers a deep dive into Bard AI's capabilities, setting a foundation with an introduction to AI and language models, followed by an in-depth exploration of Bard AI's unique features.
Discover the revolutionary aspects of text generation, contextual understanding, and multilingual support that Bard AI offers. These features not only enhance the efficiency of content creation but also pave the way for innovative applications in customer service, education, and more. The course meticulously compares Bard AI with other leading models like GPT-3 and GPT-4, highlighting its unique selling points and potential areas for development.
A crucial section of the course is dedicated to programmers, where you'll learn how Bard AI can assist in coding practices, from generating code snippets to identifying errors and improving performance. The course also projects the future prospects of Bard AI, envisioning its role in advancing society and technology.
By the end of this course, you'll have a comprehensive understanding of Bard AI, equipped with the knowledge to apply its features in various sectors effectively. Whether you're a programmer, content creator, or simply an AI enthusiast, this course is your gateway to mastering one of the most versatile language models in the AI landscape. Join us to embark on this enlightening journey into the world of Bard AI.
Dive into the world of artificial intelligence with "Mastering Bard AI: Google's Versatile Language Model". This comprehensive course is designed to unravel the intricacies of Bard AI, Google's pioneering language model that stands at the forefront of AI technology. Spanning over seven insightful sections, the course offers a deep dive into Bard AI's capabilities, setting a foundation with an introduction to AI and language models, followed by an in-depth exploration of Bard AI's unique features.
Discover the revolutionary aspects of text generation, contextual understanding, and multilingual support that Bard AI offers. These features not only enhance the efficiency of content creation but also pave the way for innovative applications in customer service, education, and more. The course meticulously compares Bard AI with other leading models like GPT-3 and GPT-4, highlighting its unique selling points and potential areas for development.
A crucial section of the course is dedicated to programmers, where you'll learn how Bard AI can assist in coding practices, from generating code snippets to identifying errors and improving performance. The course also projects the future prospects of Bard AI, envisioning its role in advancing society and technology.
By the end of this course, you'll have a comprehensive understanding of Bard AI, equipped with the knowledge to apply its features in various sectors effectively. Whether you're a programmer, content creator, or simply an AI enthusiast, this course is your gateway to mastering one of the most versatile language models in the AI landscape. Join us to embark on this enlightening journey into the world of Bard AI.
Welcome to "Artificial Intelligence with Python: Real-World MCQ Test." This course is designed to help you master the fundamental concepts of artificial intelligence (AI) using Python by providing six practice tests featuring real-world scenario-based multiple-choice questions (MCQs). Each practice test is supported by detailed explanations to enhance your understanding of AI concepts. With a 30-minute time duration for each practice test and a passing score requirement of 50%, this course is tailored to prepare you for real-world AI challenges.
Course Overview: In this course, you will have the opportunity to assess and enhance your AI skills using Python through a series of practice tests. These tests are thoughtfully designed to simulate real-world scenarios, enabling you to apply your knowledge effectively.
Practice Tests:
AI Fundamentals: Test your foundational knowledge of AI concepts, including machine learning and deep learning.
Machine Learning: Evaluate your understanding of machine learning algorithms, supervised and unsupervised learning, and model evaluation.
Deep Learning: Challenge yourself with questions related to neural networks, deep learning frameworks, and image recognition.
Natural Language Processing (NLP): Assess your skills in NLP techniques, sentiment analysis, and text classification.
Reinforcement Learning: Test your proficiency in reinforcement learning, Q-learning, and policy optimization.
Real-World AI Project: Demonstrate your skills by working on a comprehensive AI project that encompasses various aspects of AI development.
Time Duration: Each practice test has a time limit of 30 minutes, demanding quick thinking and informed decision-making, just like you would encounter in real-world AI scenarios.
Passing Score: To successfully complete each practice test and advance in this course, you must achieve a passing score of at least 50%. This ensures that you have a strong grasp of the material and are well-prepared for practical AI tasks.
Course Outcome: Upon completing this course, you will:
Have a solid foundation in artificial intelligence using Python.
Be proficient in machine learning, deep learning, and natural language processing.
Understand reinforcement learning and its applications.
Be well-prepared to tackle real-world AI challenges and projects.
Who Is This Course For: This course is ideal for individuals who want to excel in artificial intelligence using Python, including:
Aspiring data scientists, AI engineers, and machine learning practitioners looking to enhance their Python-based AI skills.
Students and professionals aiming to enter the field of artificial intelligence.
Anyone interested in mastering AI concepts and working on real-world AI projects.
Prerequisites: To maximize your success in this course, it is recommended that you have a basic understanding of Python programming. Familiarity with machine learning and AI concepts is beneficial but not mandatory.
Conclusion: "Artificial Intelligence with Python: Real-World MCQ Test" is a practical and hands-on course designed to boost your confidence and proficiency in artificial intelligence using Python. By providing real-world scenario-based practice tests with detailed explanations, our goal is to equip you with the skills and knowledge needed to excel in the field of artificial intelligence. Start your journey to becoming a proficient AI practitioner today!
Welcome to "Artificial Intelligence with Python: Real-World MCQ Test." This course is designed to help you master the fundamental concepts of artificial intelligence (AI) using Python by providing six practice tests featuring real-world scenario-based multiple-choice questions (MCQs). Each practice test is supported by detailed explanations to enhance your understanding of AI concepts. With a 30-minute time duration for each practice test and a passing score requirement of 50%, this course is tailored to prepare you for real-world AI challenges.
Course Overview: In this course, you will have the opportunity to assess and enhance your AI skills using Python through a series of practice tests. These tests are thoughtfully designed to simulate real-world scenarios, enabling you to apply your knowledge effectively.
Practice Tests:
AI Fundamentals: Test your foundational knowledge of AI concepts, including machine learning and deep learning.
Machine Learning: Evaluate your understanding of machine learning algorithms, supervised and unsupervised learning, and model evaluation.
Deep Learning: Challenge yourself with questions related to neural networks, deep learning frameworks, and image recognition.
Natural Language Processing (NLP): Assess your skills in NLP techniques, sentiment analysis, and text classification.
Reinforcement Learning: Test your proficiency in reinforcement learning, Q-learning, and policy optimization.
Real-World AI Project: Demonstrate your skills by working on a comprehensive AI project that encompasses various aspects of AI development.
Time Duration: Each practice test has a time limit of 30 minutes, demanding quick thinking and informed decision-making, just like you would encounter in real-world AI scenarios.
Passing Score: To successfully complete each practice test and advance in this course, you must achieve a passing score of at least 50%. This ensures that you have a strong grasp of the material and are well-prepared for practical AI tasks.
Course Outcome: Upon completing this course, you will:
Have a solid foundation in artificial intelligence using Python.
Be proficient in machine learning, deep learning, and natural language processing.
Understand reinforcement learning and its applications.
Be well-prepared to tackle real-world AI challenges and projects.
Who Is This Course For: This course is ideal for individuals who want to excel in artificial intelligence using Python, including:
Aspiring data scientists, AI engineers, and machine learning practitioners looking to enhance their Python-based AI skills.
Students and professionals aiming to enter the field of artificial intelligence.
Anyone interested in mastering AI concepts and working on real-world AI projects.
Prerequisites: To maximize your success in this course, it is recommended that you have a basic understanding of Python programming. Familiarity with machine learning and AI concepts is beneficial but not mandatory.
Conclusion: "Artificial Intelligence with Python: Real-World MCQ Test" is a practical and hands-on course designed to boost your confidence and proficiency in artificial intelligence using Python. By providing real-world scenario-based practice tests with detailed explanations, our goal is to equip you with the skills and knowledge needed to excel in the field of artificial intelligence. Start your journey to becoming a proficient AI practitioner today!
In this comprehensive course, you'll learn how to build dynamic conversational chat-bots using Flask and Django as backend, integrate real-time communication with WhatsApp APIs, and add AI-driven chat features with ChatGPT, ChatPDF, StabilityAI and Langchain to improve the way you interact with your customers, clients, and users. With a focus on hands-on practice, you'll dive into the world of natural language processing, machine learning, and modern web app development, and emerge with the skills to create sophisticated chat-bots that can be custom-trained, answer questions, provide assistance, and even handle transactions.
Key Highlights:
1. Building chat-bots with ChatGPT: Learn how to leverage the advanced natural language processing capabilities of ChatGPT to create chat-bots that can understand and respond to user queries in a human-like manner.
2. WhatsApp Integration: Explore the integration of WhatsApp Business APIs to enhance your applications with real-time communication. Implement features that allow users to receive updates, engage in interactive conversations, and seamlessly interact with your application via WhatsApp.
3. AI-Powered Interactivity with GPTs: Unlock the potential of artificial intelligence by integrating ChatGPT into your projects. Understand how to leverage GPTs for natural language processing, creating intelligent chat interfaces that respond dynamically to user input.
4. Practical Projects for Real-World Skills: Immerse yourself in 10 hands-on projects, ranging from trivia games and personal assistants to language learning chat-bots and interactive storytelling games. Apply your knowledge to create applications with tangible real-world applications.
5. Step-by-Step Tutorials and Documentation: Our course provides clear and concise step-by-step tutorials for each project, ensuring you understand the integration of Django, WhatsApp APIs, and ChatGPT. Detailed documentation accompanies each lesson, empowering you to apply your skills independently.
6. Scalable Learning Path: Whether you're a beginner or an experienced developer, our course is designed to accommodate different skill levels. Start with the basics and gradually advance to more complex projects, all while gaining practical experience.
7. Innovative Use Cases: Explore innovative applications of AI, real-time communication, and web development. From personalized assistants to language translation services, you'll discover how to build solutions that go beyond the ordinary.
By the end of this course, you'll have developed a solid foundation in chat-bot development and gained hands-on experience with ChatGPT, Flask, Django, and WhatsApp APIs. Whether you're looking to build chat-bots for customer service, e-commerce, or entertainment purposes, this course will equip you with the skills and knowledge needed to succeed.
So why wait? Join us today and start creating innovative chat-bots that can transform the way you connect with your audience!
In this comprehensive course, you'll learn how to build dynamic conversational chat-bots using Flask and Django as backend, integrate real-time communication with WhatsApp APIs, and add AI-driven chat features with ChatGPT, ChatPDF, StabilityAI and Langchain to improve the way you interact with your customers, clients, and users. With a focus on hands-on practice, you'll dive into the world of natural language processing, machine learning, and modern web app development, and emerge with the skills to create sophisticated chat-bots that can be custom-trained, answer questions, provide assistance, and even handle transactions.
Key Highlights:
1. Building chat-bots with ChatGPT: Learn how to leverage the advanced natural language processing capabilities of ChatGPT to create chat-bots that can understand and respond to user queries in a human-like manner.
2. WhatsApp Integration: Explore the integration of WhatsApp Business APIs to enhance your applications with real-time communication. Implement features that allow users to receive updates, engage in interactive conversations, and seamlessly interact with your application via WhatsApp.
3. AI-Powered Interactivity with GPTs: Unlock the potential of artificial intelligence by integrating ChatGPT into your projects. Understand how to leverage GPTs for natural language processing, creating intelligent chat interfaces that respond dynamically to user input.
4. Practical Projects for Real-World Skills: Immerse yourself in 10 hands-on projects, ranging from trivia games and personal assistants to language learning chat-bots and interactive storytelling games. Apply your knowledge to create applications with tangible real-world applications.
5. Step-by-Step Tutorials and Documentation: Our course provides clear and concise step-by-step tutorials for each project, ensuring you understand the integration of Django, WhatsApp APIs, and ChatGPT. Detailed documentation accompanies each lesson, empowering you to apply your skills independently.
6. Scalable Learning Path: Whether you're a beginner or an experienced developer, our course is designed to accommodate different skill levels. Start with the basics and gradually advance to more complex projects, all while gaining practical experience.
7. Innovative Use Cases: Explore innovative applications of AI, real-time communication, and web development. From personalized assistants to language translation services, you'll discover how to build solutions that go beyond the ordinary.
By the end of this course, you'll have developed a solid foundation in chat-bot development and gained hands-on experience with ChatGPT, Flask, Django, and WhatsApp APIs. Whether you're looking to build chat-bots for customer service, e-commerce, or entertainment purposes, this course will equip you with the skills and knowledge needed to succeed.
So why wait? Join us today and start creating innovative chat-bots that can transform the way you connect with your audience!
In the rapidly evolving world of graphic design, the integration of Artificial Intelligence (AI) has been a game changer. Our course, 'AI-Based Graphic Design: Mastering Figma and Emerging Technologies', is meticulously designed to navigate this new terrain. Spanning eight comprehensive sections, this course offers an in-depth exploration of AI's influence on graphic design, focusing on advanced software such as DALL-E and MidJourney, as well as the robust capabilities of Figma.
Section 1 lays the foundation, delving into the history and current trends of AI in graphic design. It predicts the future role of AI, setting the stage for practical applications. In Section 2, students will gain hands-on experience with AI design tools, including a detailed analysis of DALL-E and MidJourney, and mastering Figma’s advanced features. This section emphasizes the seamless integration of AI into design workflows.
Sections 3 and 4 focus on specific design tasks: creating AI-enhanced landing pages and crafting memorable logos using AI and Figma. These sections blend theoretical understanding with practical skills, ensuring students can effectively apply AI recommendations in their designs.
In Section 5, the focus shifts to designing PowerPoint imagery, leveraging AI tools for enhanced presentation design. Following this, Section 6 introduces advanced design techniques where Figma meets AI, including animation and predictive design.
Section 7 is crucial, addressing the ethical dimensions and best practices in AI design. This includes understanding AI biases and navigating the intellectual property challenges posed by AI-generated designs.
The course culminates in a final project (Section 8), where students merge their AI and Figma skills to create a comprehensive branding page, followed by peer reviews and reflections.
This course is not just about learning tools; it's about embracing a new design ethos where AI and human creativity coalesce to redefine the graphic design landscape. Whether you're a seasoned designer or a newcomer, this course equips you with the knowledge and skills to thrive in the AI-augmented world of graphic design.
In the rapidly evolving world of graphic design, the integration of Artificial Intelligence (AI) has been a game changer. Our course, 'AI-Based Graphic Design: Mastering Figma and Emerging Technologies', is meticulously designed to navigate this new terrain. Spanning eight comprehensive sections, this course offers an in-depth exploration of AI's influence on graphic design, focusing on advanced software such as DALL-E and MidJourney, as well as the robust capabilities of Figma.
Section 1 lays the foundation, delving into the history and current trends of AI in graphic design. It predicts the future role of AI, setting the stage for practical applications. In Section 2, students will gain hands-on experience with AI design tools, including a detailed analysis of DALL-E and MidJourney, and mastering Figma’s advanced features. This section emphasizes the seamless integration of AI into design workflows.
Sections 3 and 4 focus on specific design tasks: creating AI-enhanced landing pages and crafting memorable logos using AI and Figma. These sections blend theoretical understanding with practical skills, ensuring students can effectively apply AI recommendations in their designs.
In Section 5, the focus shifts to designing PowerPoint imagery, leveraging AI tools for enhanced presentation design. Following this, Section 6 introduces advanced design techniques where Figma meets AI, including animation and predictive design.
Section 7 is crucial, addressing the ethical dimensions and best practices in AI design. This includes understanding AI biases and navigating the intellectual property challenges posed by AI-generated designs.
The course culminates in a final project (Section 8), where students merge their AI and Figma skills to create a comprehensive branding page, followed by peer reviews and reflections.
This course is not just about learning tools; it's about embracing a new design ethos where AI and human creativity coalesce to redefine the graphic design landscape. Whether you're a seasoned designer or a newcomer, this course equips you with the knowledge and skills to thrive in the AI-augmented world of graphic design.