for Conversational English

Course Description: This course will introduce students to the exciting field of Generative Artificial Intelligence (AI) and its applications in engineering. Through a combination of lectures, hands-on projects, and discussions, students will gain a comprehensive understanding of the principles and techniques used in generative AI. The course will cover topics such as machine learning, deep learning, natural language processing, and computer vision, all within the context of generative AI. Students will learn how to use popular tools and frameworks such as TensorFlow, PyTorch, and GPT-3 to build and train generative AI models. Throughout the course, students will work on real-world engineering problems and develop their own generative AI solutions. They will also have the opportunity to collaborate with their peers and receive feedback from experienced instructors. By the end of this course, students will have a strong foundation in generative AI and be able to apply their knowledge to various engineering fields, including robotics, automation, and data analysis. Join us and discover the endless possibilities of generative AI in engineering!

Created by

jonathan parish

174:09:20 Hours

0 Enrolled

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English

Last updated

Mon, 20-May-2024

What will i learn?

  • 1. Natural Language Processing (NLP): NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. This is essential for chatbots and other conversational AI systems.
  • 2. Machine Learning: Machine learning is a subset of AI that involves training algorithms to make predictions or decisions based on data. This is crucial for chatbots to learn and improve their responses over time.
  • 3. Conversational Design: Conversational design is the process of creating human-like conversations between humans and machines. This involves understanding user needs, designing conversation flows, and creating a personality for the chatbot.
  • 4. Sentiment Analysis: Sentiment analysis is the process of identifying and understanding the emotions and opinions expressed in text. This is important for chatbots to be able to respond appropriately and empathetically to users.
  • 5. Natural Language Generation (NLG): NLG is the process of generating human-like text from data. This is useful for chatbots to create personalized and relevant responses to user queries.

Requirements

  • 1. Strong foundation in programming languages: ChatGPT prompts engineering requires a strong understanding of programming languages such as Python, Java, or C++. This is essential for building and customizing the chatbot's functionality and integrating it with other systems.
  • 2. Natural Language Processing (NLP) skills: NLP is a key component of chatGPT prompts engineering as it enables the chatbot to understand and respond to human language. Knowledge of NLP techniques and tools such as NLTK, spaCy, or Gensim is crucial for developing effective chatbot prompts.
  • 3. Familiarity with machine learning algorithms: ChatGPT prompts engineering involves training the chatbot on large datasets to improve its responses. Knowledge of machine learning algorithms such as deep learning, reinforcement learning, and natural language generation is necessary for this task.
  • 4. Understanding of chatbot platforms: ChatGPT prompts engineering often involves working with chatbot platforms such as Dialogflow, IBM Watson, or Microsoft Bot Framework. Familiarity with these platforms and their features is important for building and deploying chatbots.
  • 5. Creativity and problem-solving skills: As chatGPT prompts engineering is a relatively new field, there may not always be a clear solution to a problem. Engineers must be creative and have strong problem-solving skills to come up with innovative solutions and improve the chatbot's performance.

Frequently asked question

Generative AI is a branch of artificial intelligence that involves creating algorithms and models that can generate new content, such as text, images, or videos, based on a set of input data. It works by using machine learning techniques to analyze and learn patterns from the input data, and then using those patterns to generate new content.

Generative AI has a wide range of potential applications, including content creation for marketing and advertising, virtual assistants and chatbots, video and image generation for entertainment and gaming, and even drug discovery and scientific research.

Unlike other forms of AI, which are designed to solve specific problems or perform specific tasks, Generative AI is focused on creating new content and ideas. It is also more open-ended and creative, as it is not limited to a specific set of rules or data.

One of the main ethical concerns surrounding Generative AI is the potential for it to be used to create fake or misleading content, such as deepfake videos or fake news articles. There are also concerns about the impact on human creativity and the potential for job displacement in industries that rely on content creation.

Businesses and organizations can benefit from using Generative AI in a variety of ways, such as automating content creation, personalizing customer interactions through chatbots, and improving efficiency in tasks such as data analysis and research. It can also help companies stay ahead of the competition by generating new and innovative ideas.

jonathan parish

Jonathan Parish is a software developer with a passion for creating innovative solutions to everyday problems.

Jonathan Parish is a software developer with a passion for creating innovative solutions to everyday problems. With a background in artificial intelligence and machine learning, he has developed a state-of-the-art AI tool suite to help streamline form creation processes. The AI Tools Suite developed by Jonathan Parish is a robust set of tools that utilize machine learning algorithms to automate the creation of forms for various industries. By analyzing existing form structures and patterns, the AI tool suite is able to generate customized forms quickly and efficiently, saving businesses time and resources. Jonathan's dedication to simplifying form creation has led to the development of a user-friendly interface that allows users to easily input their form requirements and receive a tailor-made form in seconds. The AI tool suite also includes features such as validation checks, error detection, and data encryption to ensure the security and accuracy of the forms generated. Through his AI Tool Suite, Jonathan Parish is revolutionizing the way businesses create and manage forms, providing a more efficient and streamlined solution for form creation. His commitment to innovation and cutting-edge technology has set him apart as a leader in the field of artificial intelligence and form automation. AI TOOLS SUITE PLATFORM 
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$39.99

$47.99

Lectures

15

Skill level

Beginner

Expiry period

Lifetime
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