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Microsoft AI Bootcamp for Freshers Course Overview

Microsoft AI Bootcamp for Freshers Course Overview

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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Course Prerequisites

To ensure a successful learning experience in the Microsoft AI Bootcamp for Freshers course, prospective students should meet the following minimum prerequisites:


  • Basic understanding of computer operations and software installation.
  • Familiarity with fundamental concepts of programming (e.g., what a program, variable, and loop are).
  • A willingness to learn new technologies and adapt to the evolving landscape of AI and Machine Learning.
  • Access to a reliable internet connection and a computer capable of running the necessary software for hands-on exercises.
  • Ability to commit to the course duration and invest time in self-study and practice outside of formal training sessions.

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.


Target Audience for Microsoft AI Bootcamp for Freshers

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:


  • Recent graduates with a degree in computer science or related fields
  • Aspiring data scientists and machine learning enthusiasts
  • Junior software developers seeking to specialize in AI
  • IT professionals aiming to transition into AI and machine learning roles
  • Freshers interested in developing AI solutions on the Microsoft Azure platform
  • Technical professionals looking to understand the basics of cloud services for AI
  • Career changers aiming to enter the tech industry with a focus on artificial intelligence
  • Non-technical professionals with a strong analytical background aspiring to gain technical AI skills
  • Students in their final year of college seeking to augment their employability with AI expertise


Learning Objectives - What you will Learn in this Microsoft AI Bootcamp for Freshers?

  1. 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.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of Python, including data types, control structures, functions, and file handling for application development.
  • Gain proficiency in Python's advanced features like iterators, generators, and regular expressions to manage data effectively.
  • Develop a strong foundation in object-oriented programming concepts using Python for scalable AI solutions.
  • Acquire practical knowledge of key machine learning techniques, such as linear and logistic regression, SVM, decision trees, and clustering.
  • Learn feature engineering to improve machine learning model performance and accuracy.
  • Explore the core concepts of cloud computing and the extensive range of services and architecture provided by Microsoft Azure.
  • Comprehend the basics of AI, machine learning, and cognitive services within the Azure AI platform.
  • Plan and manage Azure Cognitive Services solutions to integrate AI capabilities into applications.
  • Implement computer vision, natural language processing, knowledge mining, and conversational AI solutions using Azure services.
  • Prepare for the AI-900 Microsoft Azure AI Fundamentals certification, demonstrating foundational knowledge in AI and machine learning on Azure.

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