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Machine Learning

  • 60 Students
  • 20 Weeks
This course provides a comprehensive introduction to the fundamental principles and techniques of machine learning, covering a wide range of topics including supervised learning, unsupervised learning, and reinforcement learning, while equipping students with hands-on experience in applying these techniques to real-world problems using popular machine learning libraries and frameworks, exploring the mathematical foundations of machine learning, and delving into the ethical considerations and practical challenges involved in deploying machine learning systems, ultimately enabling students to design, implement, and evaluate machine learning models to solve complex problems across a wide range of domains.
  • 150 Students
  • 4 Weeks
This course focuses on mastering the industry-standard Adobe software suite for graphic design, including Photoshop, Illustrator, InDesign, and After Effects. Students will learn the tools and techniques to create a wide range of visual content, from photo editing and manipulation to vector-based illustrations and page layout design.
  • 280 Students
  • 5 Weeks
This course teaches students how to effectively leverage social media platforms like Facebook, Instagram, X (former Twitter), LinkedIn, Telegram, YouTube, and TikTok to reach and engage with target audiences. Topics include social media strategy, content creation, influencer marketing, social media analytics, and community management.
  • 320 Students
  • 3 Weeks
This course equips you with the strategies to improve your website's ranking in search engine results pages (SERPs). This means more organic traffic (free website visits) from people searching for keywords related to your business. You'll learn about optimizing website content, building backlinks, and technical SEO considerations...
  • 420 Students
  • 4 Weeks
In Term 1 of the MERN full-stack web development course, students build a solid foundation by learning to create responsive static websites using HTML, CSS, and the Bootstrap framework, exploring the principles of user-centric UX/UI design, and gaining practical experience with web hosting and deployment to publish their portfolio projects on the internet.
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  • 270 Students
  • 5 Weeks
In Term 2 of the MERN full-stack web development course, students dive deeper into the world of coding with JavaScript, mastering the latest syntax and programming fundamentals, while also learning to build dynamic websites using the Shopify platform and exploring the power of the jQuery library to enhance the interactivity and functionality of their web applications.
  • 210 Students
  • 7 Weeks
In Term 3, the MERN full-stack web development course focuses on the backend side of application development, where students learn to leverage the power of React.js for building user interfaces, explore the versatility of Node.js and the Express.js framework for creating server-side APIs and handling server-side logic, and delve into the world of MySQL, a popular open-source relational database management system, to store and retrieve data for their robust and dynamic web applications.
  • 169 Students
  • 5 Weeks
This Python course offers a comprehensive and hands-on introduction to the Python programming language, covering fundamentals like data types and control structures, delving into advanced topics such as object-oriented programming and the vast ecosystem of Python libraries and frameworks, and providing opportunities for hands-on coding exercises and projects to reinforce understanding, ultimately equipping students with the skills to become proficient in one of the most versatile and widely-used programming languages and tackle complex problems in a wide range of domains, from data analysis and machine learning to web development and automation.
  • 50 Students
  • 5 Weeks
This Convolutional Neural Networks (CNNs) course at the Mizan Institute of Technology (MiT) offers a comprehensive and hands-on introduction to this powerful deep learning architecture, enabling you to unlock the potential of computer vision and image recognition. Dive deep into the fundamentals of CNNs, exploring the underlying principles, key concepts, and mathematical foundations that drive these neural networks. Learn how to design, train, and optimize CNN models for a wide range of image-related tasks, including image classification, object detection, and semantic segmentation.
  • 40 Students
  • 8 Weeks
Those courses at the Mizan Institute of Technology (MiT) unlock the power of predictive modeling and intelligent classification. Dive into the world of data-driven decision-making and pattern recognition with our comprehensive Regression and Classification course. Harness the power of advanced techniques to uncover insights, forecast trends, and build intelligent systems capable of accurately categorizing data across a diverse range of industries and applications. Whether you're interested in predictive modeling, forecasting, or creating cutting-edge classification algorithms, this course will provide you with the tools and expertise to tackle complex real-world problems and drive innovation in your chosen field.
  • 27 Students
  • 6 Weeks
This comprehensive Data Science course at the Mizan Institute of Technology (MiT) will take you on an immersive journey, equipping you with the skills and expertise to uncover valuable insights, drive data-driven decision-making, and tackle complex real-world problems across a wide range of industries. Dive deep into the fundamental concepts and techniques that form the backbone of data science, including data acquisition, preprocessing, exploratory data analysis, and advanced statistical modeling. Discover the power of machine learning algorithms and learn to apply them to a diverse array of applications, from predictive analytics and forecasting to classification and clustering tasks. Embrace the tools and frameworks that are shaping the data science landscape, including Python, R, SQL, and cutting-edge libraries like NumPy, Pandas, Scikit-learn, and TensorFlow. Hone your skills in data visualization, reporting, and storytelling to effectively communicate your findings and drive meaningful impact.
  • 45 Students
  • 15 Weeks
This course at the Mizan Institute of Technology (MiT) will take you on an extraordinary journey into the cutting-edge world of robotics, where you'll dive headfirst into the realm of autonomous systems, intelligent machines, and the technologies that are shaping the future, as you explore the full spectrum of robotic fundamentals, from kinematics and dynamics to sensor integration and data processing for perception, robotic manipulators and end-effector design, navigation and localization techniques for mobile robots, robotic planning and decision-making algorithms, robotic simulation and virtual prototyping, and the emerging trends and future directions in this dynamic field, all while engaging in captivating lab sessions and project-based learning to hone your skills in programming, electronics, and mechanical design, collaborating with industry experts and renowned researchers to gain real-world insights and stay at the forefront of the robotics revolution, empowering you to become a driving force in shaping the future of intelligent machines.
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