The Microsoft AI Bootcamp for Freshers is an immersive course designed to introduce newcomers to the fundamentals of artificial intelligence and machine learning, with a special focus on Microsoft AI technologies. Throughout the program, participants will gain hands-on experience with Microsoft Artificial Intelligence platforms and tools.
Module 1 lays the groundwork with Python programming, covering everything from basic syntax and control structures to advanced topics like Object-oriented programming and data manipulation with libraries such as NumPy and Pandas. Module 2 delves into Machine Learning Essentials, equipping learners with knowledge on a variety of algorithms and data processing techniques. Module 3 introduces the basics of Microsoft Azure, while Module 4 and 5 dive deeper into the specific AI capabilities of Azure, teaching students how to design and implement AI solutions using Azure's cognitive services.
By the end of the bootcamp, participants will be well-versed in Microsoft AI and ready to tackle real-world AI challenges.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the Microsoft AI Bootcamp for Freshers course, prospective students should meet the following minimum prerequisites:
Please note that while prior experience in programming or data science is helpful, it is not strictly required to begin this course. The curriculum is designed to guide learners through the basics of Python and foundational Machine Learning concepts before advancing to more complex topics.
The Microsoft AI Bootcamp for Freshers is designed to equip new entrants with foundational Python, Machine Learning, and Azure AI skills.
Target audience and job roles for the Microsoft AI Bootcamp for Freshers include:
Introduction: This comprehensive Microsoft AI Bootcamp for Freshers is designed to equip participants with essential Python programming skills, machine learning concepts, and the fundamentals of Microsoft Azure, including AI solutions implementation.
Learning Objectives and Outcomes:
Microsoft Azure is a cloud computing platform that provides a wide range of services including computing, analytics, storage, and networking. Users can pick and choose from these services to develop and scale new applications, or run existing applications, in the public cloud. Azure is known for its flexibility, allowing enterprises to customize their computing needs and manage them efficiently, while only paying for what they use. Azure also integrates advanced capabilities like AI and machine learning, offering tools and services to build and deploy artificial intelligence solutions, creating smarter applications and improving efficiencies.
Azure's cognitive services, a part of Microsoft AI, utilize artificial intelligence to empower developers with capabilities that can perceive, understand, and interpret the needs of users. These services include tools for computer vision, speech recognition, language understanding, and decision-making, thereby enhancing interaction between humans and computer systems. Essentially, these Microsoft artificial intelligence tools help integrate human-like cognition into apps and services, making them smarter and more intuitive for users across various platforms.
Microsoft AI, or Microsoft Artificial Intelligence, refers to a range of technologies and services developed by Microsoft that enable computers to perform tasks commonly associated with human intelligence. These tasks include understanding natural language, recognizing patterns, making decisions, and learning from data. Microsoft integrates AI across its products like Azure, Office 365, and Windows to enhance user experiences, improve decision-making, and increase productivity in personal and professional environments.
Python programming is a versatile and user-friendly language used for web development, data analysis, artificial intelligence, and more. It supports multiple programming paradigms and has extensive libraries that assist developers in creating applications efficiently. Python's straightforward syntax and readability make it a popular choice for beginners and professionals alike. It plays a significant role in various areas of technology, including automation, data visualization, and facilitating complex algorithms for applications like machine learning, making it a powerful tool in the development of Microsoft artificial intelligence solutions.
Object-oriented programming (OOP) is a programming paradigm based on the concept of "objects", which can contain data, in the form of fields (often known as attributes or properties), and code, in the form of procedures (often known as methods). In OOP, computer programs are designed by making them out of objects that interact with one another. This approach to programming is useful for managing large software projects and developing software for graphical user interfaces, which are common in desktop and mobile applications. OOP languages include Python, Java, C++, and others, facilitating clearer, more modular, and scalable code.
Machine Learning is a subset of artificial intelligence (AI) where computers learn and adapt to new data without being explicitly programmed. It involves feeding a computer system a large amount of data, which it then uses to learn to perform specific tasks, such as recognizing speech, identifying images, or making predictions. Over time, as it receives more data, its ability to make decisions and predictions improves. Machine Learning is a powerful tool that underpins many modern technologies, including Microsoft's AI solutions, enhancing everything from healthcare diagnostics to real-time traffic predictions in smart cities.
The Microsoft AI Bootcamp for Freshers is designed to equip new entrants with foundational Python, Machine Learning, and Azure AI skills.
Target audience and job roles for the Microsoft AI Bootcamp for Freshers include:
Introduction: This comprehensive Microsoft AI Bootcamp for Freshers is designed to equip participants with essential Python programming skills, machine learning concepts, and the fundamentals of Microsoft Azure, including AI solutions implementation.
Learning Objectives and Outcomes: