Build a Full-Stack Web App Form with Python,Flask and MySQL

Master the latest advancements in Artificial Intelligence by learning how to build intelligent, autonomous AI applications with Python. This comprehensive, hands-on course is designed to take you from the fundamentals of Generative AI to advanced Agentic AI systems using today's most powerful AI technologies.Whether you're a beginner entering the AI field or an experienced developer looking to build next-generation AI applications, this course provides a practical, project-based learning experience that prepares you for real-world AI development.You'll begin by understanding the foundations of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Python programming before progressing to advanced concepts such as AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Vector Databases, AI Memory, Function Calling, Tool Integration, Model Context Protocol (MCP), AI Workflows, and enterprise AI architectures.Throughout the course, you'll gain hands-on experience building production-ready AI applications using modern AI frameworks and libraries. You'll learn how to connect LLMs with external tools, APIs, databases, and knowledge sources, enabling AI agents to reason, plan, retrieve information, and execute complex tasks autonomously.This course includes 5+ real-world projects that demonstrate how modern AI systems are built and deployed. You'll create intelligent chatbots, document Q A systems, research assistants, AI coding assistants, customer support agents, workflow automation tools, content generation platforms, business AI assistants, RAG-powered search systems, MCP-enabled applications, and collaborative multi-agent solutions.You'll also explore best practices for designing scalable AI applications, managing context and memory, optimizing prompts, integrating external services, deploying AI applications, and building secure, reliable AI systems suitable for production environments.By the end of this course, you'll have a strong portf

Course DescriptionLeadership isn’t about a title, it’s about influence, growth, and impact.Whether you’re a first-time manager, a seasoned supervisor, or an aspiring executive, this course will give you the tools to lead yourself, lead your team, and lead your company with confidence.In the Leadership Competency Series, you’ll gain practical, actionable skills to grow into the leader people trust, follow, and respect. Through engaging lessons, real-world activities, and reflection exercises, you’ll build a toolkit you can apply immediately in your career.What you’ll learn:Core self-leadership skills — self-awareness, emotional intelligence, resilience, and authenticity.Essential team leadership competencies — communication, coaching, delegation, recognition, and accountability.Advanced company-wide leadership skills — vision setting, change leadership, strategic thinking, decision making, and culture building.Why take this course?Unlike theory-heavy leadership training, this course is designed for immediate application. Each competency comes with practical activities, reflection prompts, and leadership challenges you can use in real time with your team or organization.You’ll walk away knowing how to:Communicate with clarity and impact.Motivate and coach your team for growth.Delegate effectively and build trust.Lead change with confidence.Set vision and strategy for the future.Create a culture where people thrive.Skills You’ll Gain:Leadership development, management training, team leadership, executive leadership, leadership skills, people management, coaching, delegation, communication skills, emotional intelligence, resilience, strategic leadership, change m

"Complete Python: From Basics to Advance" is a comprehensive, hands-on course that guides you through the journey of mastering Python, from the fundamentals to advanced topics like system automation and optimization. Whether you're a complete beginner or an experienced developer, this course will provide you with the tools and techniques to harness the full power of Python.Begin by learning the basics, including variables, data types, loops, and functions, before diving into more advanced topics like object-oriented programming and Python libraries. As you progress, you'll explore core Python concepts like file handling, error handling, and working with APIs. You’ll also gain a strong understanding of data structures such as lists, dictionaries, and sets, enabling you to build efficient and scalable systems.The course also covers crucial skills for system automation, such as writing scripts to control your OS, automate repetitive tasks, and interact with external systems. You’ll delve into multithreading for performance optimization, memory profiling, and advanced topics like concurrency. The course also prepares you for real-world applications of Python, like automating workflows, managing files, and building AI-powered applications.By the end of this course, you'll be proficient in Python and able to develop programs that optimize your system’s performance, automate complex workflows, and solve real-world problems effectively. Perfect for aspiring developers, automation enthusiasts, and anyone looking to enhance their Python programming skills.

Master Full-Stack Development Cloud Deployment by Building a Task Manager! Dive deep into Spring Boot for a robust backend and React for a dynamic frontend in this comprehensive, project-based course. You'll gain practical, hands-on experience as you build a fully functional task management application from the ground up, learning industry-standard best practices along the way.In this course, you will:Develop a robust Spring Boot backend.Build a responsive React frontend.Build a responsive Angular frontend.Implement secure Authentication and Authorization.Utilize JWT (JSON Web Tokens) for secure communication.Manage user roles with Spring Security.Gain hands-on experience with MySQL and PostgreSQL (deployed to AWS RDS).Learn to deploy your React Frontend to AWS S3.Learn to deploy your Angular Frontend to AWS S3.Learn to deploy your Spring Boot backend toAWS EC2.Learn and understand Spring Boot architecture.Learn entity design and relationships.Gain practical deployment experience on AWSThis comprehensive course goes beyond just theory, providing you with the practical skills and confidence to build, secure, and deploy modern full-stack web applications on the powerful AWS cloud platform. By the end of this course, you'll have a tangible project to showcase your abilities and a solid understanding of the entire development lifecycle. Start your journey to becoming a proficient full-stack developer today.

Gain a deep understanding of Supervised Learning techniques by studying the fundamentals and implementing them in NumPy.Gain hands-on experience using popular Deep Learning frameworks such as Tensorflow 2 and Keras.Section 1 - The Basics:- Learn what Supervised Learning is, in the context of AI- Learn the difference between Parametric and non-Parametric models- Learn the fundamentals: Weights and biases, threshold functions and learning rates- An introduction to the Vectorization technique to help speed up our self implemented code- Learn to process real data: Feature Scaling, Splitting Data, One-hot Encoding and Handling missing data- Classification vs RegressionSection 2 - Feedforward Networks:- Learn about the Gradient Descent optimization algorithm. - Implement the Logistic Regression model using NumPy- Implement a Feedforward Network using NumPy- Learn the difference between Multi-task and Multi-class Classification- Understand the Vanishing Gradient Problem- Overfitting- Batching and various Optimizers (Momentum, RMSprop, Adam)Section 3 - Convolutional Neural Networks:- Fundamentals such as filters, padding, strides and reshaping- Implement a Convolutional Neural Network using NumPy- Introduction to Tensorfow 2 and Keras- Data Augmentation to reduce overfitting- Understand and implement Transfer Learning to require less data- Analyse Object Classification models using Occlusion Sensitivity- Generate Art using Style Transfer- One-Shot Learning for Face Verification and Face Recognition- Perform Object Detection for Blood Stream imagesSection 4 - Sequential Data- Understand Sequential Data and when data should be modeled as Sequential Data- Implement a Recurrent Neural Network using NumPy- Implement LSTM and GRUs in Tensorflow 2/Keras- Sentiment Clas

In this course I'll teach you how to make graphical user interfaces for Python using TKinter. You'll be surprised just how quickly you can create some pretty cool looking apps!I'll show you the ins and outs of tKinter, and then I'll show you how to package your app as an .exe file that you can share with others! We'll start out by learning all about the main TKinter widgets. Everything in tKinter is a widget...from labels, to buttons, input boxes, and more. After we've learned all the major Widgets, we'll build a fun Math Flashcard app. Our app will have addition, subtraction, multiplication, and division flashcards.If you've ever wanted to create GUI apps with Python, this is the course for you!