Empower Your Web Applications with Conversational AI

AI in Web Development

🚨 Free Workshop🚨

When: June 25th, 7:00 PM - 8:30 PM

Dive into the exciting world of AI-driven web development in this 90-minute workshop, a sneak peek into integrating AI into web applications using Vercel AI. Learn to build a ChatGPT clone that responds dynamically across devices, leveraging the power of Vercel AI for seamless AI functionality. Join us to bridge the gap between traditional web development and AI, enhancing your skills for the future of interactive web applications.

Coming Soon

Coming Soon ⭐

AI in Web Development

34 Total Hours

Embark on a journey to integrate conversational AI into your web projects. This workshop covers essential techniques and practical skills to implement AI-driven interactions, focusing on creating responsive and intelligent web applications. Stay ahead in the web development arena by mastering the integration of Vercel AI into your projects, ensuring your applications are not just responsive but also intelligently interactive.

✔️ Improve your skills

✔️ Impress potential employers!


AI in Web Development Insights

AI Integration in Web Development:

AI's role in web development is increasingly critical, with a significant portion of organizations investing between $500k and $5 million in AI technologies. This investment is driven by the need to harness vast data generated online. AI algorithms are pivotal in uncovering patterns, making precise predictions, and enhancing decision-making processes. The global AI market, valued at $1.4 billion in 2016, is expected to reach almost $60 billion by 2025. This growth indicates AI's transformative potential in web development, offering opportunities for innovation, efficiency, and enhanced user experiences. [1]

User Engagement with AI:

AI-enabled customer service is recognized as the most effective way for businesses to deliver personalized and proactive experiences, driving customer engagement. Integrating AI in customer service through tools like chatbots and AI-driven analytics enables businesses to offer more responsive and tailored services. This approach enhances customer satisfaction and improves service quality and customer loyalty. [3]

Vercel AI Efficiency:

While specific statistics on Vercel AI's efficiency in reducing development time are not directly available, the overall impact of AI on business efficiency and productivity is undeniable. AI technologies contribute to significant value creation across industries, with the AI market projected to grow substantially in the coming years. This growth reflects the broader efficiency and productivity gains associated with AI adoption, suggesting a positive impact on operational efficiency and productivity in web development and beyond. [4]

Chatbot Market Growth:

The chatbot market has experienced significant growth, estimated at USD 5,132.8 million in 2022, and is projected to expand at a compound annual growth rate (CAGR) of 23.3% from 2023 to 2030. This growth is attributed to the increasing adoption of chatbots in customer service to reduce operating costs and improve customer engagement. In particular, the retail & e-commerce sector has seen substantial benefits from chatbot integration, increasing customer satisfaction and loyalty. [2]

📚curriculum📚

    • Session 1: Historical Evolution of AI in Web Development (1 hr)

      • Practice Assignment: Analyze a case study of AI-driven web development.

      • Importance: Understanding the historical context enriches comprehension of current technologies.

      • Learning Objectives: Trace the history; identify key milestones in AI's role in web development.

    • Session 2: NextJS and the Node Ecosystems's Role in AI Integration(1 hr)

      • Practice Assignment: Explore the role of NextJS and Node.js in AI integration.

      • Importance: Understanding the role of NextJS and Node.js in AI integration is crucial for leveraging AI in web development.

      • Learning Objectives: Understand the capabilities of NextJS and Node.js in AI integration; identify best practices for AI integration in web development.

    • Session 1: Introduction to AIaaS (1 hr):

      • Practice Assignment: Evaluate different AIaaS platforms for Node.js applications.

      • Importance: Familiarizes with AIaaS options and their web development applications.

      • Learning Objectives: Understand AIaaS models; select suitable APIs for projects.

    • Session 2: API Integration with Next.js and the OpenAI API (1 hr):

      • Practice Assignment: Implement a conversational AI interface using the OpenAI API in a Next.js application. Students will create a simple chat interface that interacts with an AI model (e.g., ChatGPT) to answer user queries in real time.

      • Importance: This assignment bridges the gap between backend API integration and frontend user experience, demonstrating how Next.js facilitates both server-side operations and dynamic UI updates. It offers practical experience in connecting to external AI services and integrating their capabilities into web applications.

    • Learning Objectives:

      • Understand the process of setting up API keys and managing secure communication with the OpenAI API. Students will learn to configure environment variables in Next.js to store sensitive information like API keys securely.

      • Master API communication within a Next.js context, emphasizing how to make server-side requests to the OpenAI API from API routes in Next.js. This includes understanding the async/await pattern for handling asynchronous operations.

      • Implement dynamic data exchange between the frontend and backend, utilizing Next.js API routes to handle requests to the OpenAI API and return responses to the client side.

      • Develop error handling strategies for API integration, ensuring the application can gracefully manage and communicate issues encountered during API calls, enhancing the overall user experience.

    • Session 1: Navigating with the NextJS Router (6 hrs)

      • Practice Assignment: Create a multi-page AI application using NextJS's router, emphasizing the importance of dynamic routing and prefetching for AI-driven content.

      • Learning Objectives: Master the fundamentals of NextJS routing; apply dynamic routing and link prefetching to enhance navigation in AI applications.

    • Session 2: Data Fetching with SWR in NextJS (6 hrs)

      • Practice Assignment: Leverage SWR for optimized data fetching in a NextJS project, demonstrating real-time updates and efficient data handling.

      • Learning Objectives: Understand the advantages of using SWR for data fetching; implement SWR to improve performance and user experience in AI applications.

    • Topic 2.1.3: Leveraging the Vercel AI SDK in NextJS Applications (6 hrs)

      • Practice Assignment: Integrate the Vercel AI SDK to add real-time AI functionalities, such as chat interfaces or AI-driven data analysis, into a NextJS application.

      • Learning Objectives: Gain proficiency with the Vercel AI SDK for building AI-enhanced user interfaces; explore the SDK's features and implement them effectively in NextJS projects.

    • Session 1: Designing AI-Driven User Interfaces (6 hrs)

      • Practice Assignment: Use the OpenAI NPM Package to integrate an AI chatbot into a user interface for a Node.js app, utilizing the beta.assistants module for dynamic interactions.

      • Learning Objectives: Learn to design intuitive UIs that seamlessly integrate AI functionalities using OpenAI's Assistants API.

    • Session 2: Personalization with AI (6 hrs)

      • Practice Assignment: Implement a Node.js application that uses the beta.assistants module to create a personalized content recommendation engine.

      • Learning Objectives: Develop skills in creating personalized user experiences by leveraging AI to analyze user preferences and deliver tailored content.

Meet the Instructor

Brandon Gottshall is a seasoned software engineer instructor at Nebula Academy, where he shares his expertise and passion for technology with aspiring developers. Transitioning from a distinguished career in the Marine Corps to the tech industry, Brandon exemplifies resilience and adaptability. His journey from military service to tech underscores the value of continuous learning and the power of technology to transform lives. At Nebula Academy, Brandon is celebrated for his commitment to student success, fostering an environment where learners thrive in mastering new technologies. With his extensive experience in software development and a heartfelt dedication to teaching, Brandon is set to guide participants through the intricacies of integrating AI into web applications, making this workshop an invaluable experience for all involved.

UPCOMING COHORTS

UPCOMING COHORTS

June 4th

EVENINGS | ONLINE

Our AI in Web Development Course is 8 sessions long and takes place on Tuesdays from 6:30pm - 10:30pm EST.

FAQs ❓

  • The Vercel AI SDK is an open-source library designed to simplify the integration of AI-powered features into web applications. It enables developers to build conversational interfaces, such as chatbots, using languages like JavaScript and TypeScript, and supports frameworks like React/Next.js and Svelte/SvelteKit. The SDK provides built-in adapters for various large language models (LLMs) including OpenAI, LangChain, and Hugging Face, allowing for easy implementation of AI functionalities across different platforms. This toolkit is crafted for creating seamless, streaming chat and conversational user interfaces, ensuring developers can leverage the latest AI technologies efficiently within their projects.

  • Integrating AI into web applications significantly enhances user experience and operational efficiency. AI algorithms can analyze vast amounts of data to uncover patterns, automate responses, and provide personalized user interactions. For web development, this means creating more intuitive and responsive interfaces, such as chatbots that can handle customer inquiries in real-time, predictive search functionalities that improve navigation, and personalized content recommendations. AI integration helps businesses reduce operational costs, increase customer satisfaction, and drive user engagement by offering tailored, interactive experiences.

  • This workshop offers web developers a comprehensive overview of integrating AI into web applications using the Vercel AI SDK. Participants will learn practical skills, such as building a ChatGPT clone, that can be directly applied to their projects. The workshop aims to bridge the gap between traditional web development and AI, providing insights into crafting dynamic and intelligent web experiences. Benefits include:

    •Hands-on experience with the latest AI technologies and tools.

    •Understanding the principles of conversational AI and how to implement them in web applications.

    •Enhancing web applications with AI-driven functionalities for improved user engagement and operational efficiency.

    •Gaining a competitive edge in the web development market by mastering a sought-after skill set.

  • Upon successfully completing the Responsive Design Course, you will be awarded a certificate of completion.

  • For individuals interested in enhancing their web development skills with AI integration, particularly using the Vercel AI SDK in a Next.js environment, there are some prerequisites that would greatly benefit participants:

    • Basic Understanding of React Apps: Since the workshop will delve into implementing AI functionalities within web applications, a foundational knowledge of React is essential. React's component-based architecture is widely used for building user interfaces, and understanding its core principles will be crucial when integrating AI features.

    • Experience with Express Servers: Express.js, a web application framework for Node.js, is known for its simplicity and flexibility in building web servers. Familiarity with setting up and managing Express servers will be beneficial, especially when dealing with backend operations and AI model integrations.

    This foundational knowledge ensures that participants can comfortably navigate through the technical aspects of integrating Vercel AI into their projects, making the learning experience more fruitful and engaging.

  • The AI in Web Development Course is conducted in a remote format, allowing you to participate from anywhere.

  • Absolutely! This course adopts a project-based approach, allowing you to apply your learning continuously. Each lesson includes hands-on projects, ensuring you gain practical experience and reinforce AI concepts in a real-world context.

  • This workshop is designed to bridge the gap between traditional web development practices and the cutting-edge field of AI integration. By focusing on practical applications of the Vercel AI SDK in Next.js environments and exploring multi-agent frameworks, the workshop aims to provide a comprehensive understanding of how AI can enhance web applications. Here's how it complements other web development courses:

    • Filling the AI Integration Gap: While many web development courses cover the basics of coding and app development, there's often a gap in understanding how to incorporate AI into these projects. This workshop aims to fill that gap by providing hands-on experience with AI technologies.

    • All-Encompassing AI in Web Development Course: Based on the engagement and feedback from this workshop, there's potential to develop a full course dedicated to AI in web development. This would offer a more in-depth exploration of using the Vercel AI SDK, Next.js, and multi-agent frameworks, providing a well-rounded education on the subject.

    • Preparation for Future Offerings: Participation in this workshop not only equips attendees with valuable skills but also prepares them for future courses that may be offered based on this workshop's success. This ensures a continuous learning path for those interested in specializing in AI-driven web development.

    The aim is to offer a unique learning experience that not only complements existing web development courses but also prepares participants for the future of web development, where AI integration becomes a standard practice. By focusing on practical, hands-on learning, participants will leave the workshop with a solid understanding of how to implement AI in their web projects, setting the stage for more advanced studies and applications in this exciting field.

Previous
Previous

Responsive Design

Next
Next

Data Structures & Algorithms