Develop an interactive AI assistant for an existing portfolio website. This project focuses on integrating the OpenAI API, designing a user-friendly chat interface, and handling user input effectively. The outcome is a smart, conversational assistant seamlessly embedded into the existing site to enhance user engagement and showcase AI integration skills.

Learn the fundamentals of web development while harnessing the power of AI tools like ChatGPT. Understand the roles of HTML, CSS, and JavaScript in building websites and how AI can enhance your coding speed and creativity. Practice crafting effective prompts and generating code with ChatGPT. Build a complete blog website from scratch using AI-assisted development, gaining practical skills for your web projects.

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.

Learn how to harness the power of MCP (Model Context Protocol) to connect Claude AI with your everyday tools, automate tasks, and simplify complex workflows. This course covers the foundations of MCP servers, how to set them up, and how to interact with your local environment. You'll also explore practical use cases—from integrating Google services like Gmail and Calendar, to automating Excel analysis and PowerPoint generation using Python and AI. Designed for both technical and non-technical users, this course will help you unlock real productivity gains with minimal manual effort.

Explore how modern AI tools can transform the way you work and create. Learn to streamline daily tasks, generate high quality content, and speed up production using intuitive platforms built for productivity, design, audio, and video. Write faster, automate repetitive work, design stunning visuals, clean up recordings, and turn ideas into engaging videos with the help of AI. No technical background is required. Perfect for creators, marketers, educators, freelancers, and busy professionals who want to work smarter and get more done with less effort. Gain practical experience with tools that simplify complex tasks and unlock new creative potential.

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

Transform your daily workflow from overwhelming busywork into streamlined productivity. Discover how AI agents can automatically manage emails, schedule meetings, create documents, and handle routine tasks that consume hours of your day. Through practical setup guides and real-world examples, master the integration of intelligent automation tools with popular platforms like Gmail, Slack, Google Calendar, and Microsoft Office. Stop drowning in repetitive work and start focusing on strategic, creative tasks that truly matter. Build your AI-powered workspace today.

Discover how to develop a functional task management app with the help of AI. Discover how to articulate your app's features in simple terms and translate them into functional components. Master the art of styling your app with DaisyUI, adding interactivity, and managing task data. Launch a fully functional, customized web app without needing prior coding experience.

Data Analysis with AI is a hands-on course designed for professionals who want to simplify and supercharge their data workflows using artificial intelligence—without needing advanced technical skills. This course walks you through real-world scenarios where AI helps clean, structure, and interpret data effortlessly. You'll learn how to summarize datasets, identify trends, extract insights from spreadsheets. With intuitive tools and step-by-step guidance, Data Analysis with AI empowers you to turn complex data into clear, actionable intelligence—saving time and improving decision-making across any industry.

Master the art of using ChatGPT to scale your marketing efforts without losing your brand's voice. In this hands-on course, you'll learn to build custom GPTs, create high-converting email campaigns, generate social media content, repurpose blog posts into video scripts and podcasts, and manage tone consistently across platforms. Explore tools like Canvas and Projects to organize workflows, collaborate effectively, and maintain context across campaigns. You'll also learn to avoid common pitfalls of over-automation and ensure your messaging remains human, relevant, and on-brand. Perfect for creators, marketers, and content teams ready to work smarter.

Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.