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    About Course

    The Microsoft Azure AI Fundamentals course is designed to provide a comprehensive introduction to the world of artificial intelligence (AI) within the context of Microsoft Azure. This course equips students with the foundational knowledge and skills required to understand AI concepts and the practical implementation of AI solutions using Azure services. Throughout the course, students delve into the key aspects of AI, including machine learning, computer vision, and natural language processing. They gain a deep understanding of how AI technologies work and their relevance in solving real-world problems.

    Azure AI services and tools are at the forefront of this training. Students learn to leverage Azure's capabilities to build AI models, work with data, and integrate AI solutions into applications and services. This practical experience allows students to apply their knowledge to various scenarios. Ethical and responsible AI use is also emphasized, ensuring that students are not only proficient in AI but also understand the importance of using these technologies ethically and in compliance with regulations. Upon completion, students are well-prepared to pursue more advanced AI certifications and explore career opportunities related to AI and Azure. AI 900 Certification Course serves as a foundational stepping stone in the dynamic field of AI and its integration with Azure.


    Why Choose Brillica Services For Microsoft Azure AI Fundamentals Course Training

    Brillica Services is one of the best institutes for the Azure AI 900 course, if you want your future in cloud computing and earn good then this course can be the best choice for you. Choosing Brillica Services for Microsoft Azure AI Fundamentals Course Training provides numerous benefits:

  • Quality Training: Brillica is renowned for delivering excellent education.
  • Experienced Instructors: Expect insights and knowledge from seasoned professionals.
  • Flexible Learning: Choose between online and offline classes to suit your style.
  • Comprehensive Learning: The course covers all crucial aspects of Microsoft Azure AI Fundamentals.
  • Hands-On Practice: You'll gain practical experience to apply what you learn.
  • Study Materials: Valuable resources are provided for future reference.
  • Recorded Sessions: Access class content at your convenience.
  • Certification Opportunity: Successful completion may lead to a certification.
  • Support: Expect guidance throughout your learning journey.
  • Reputation: Review testimonials to ensure Brillica aligns with your learning goals and expectations.

  • Benefits Of Doing Microsoft Azure Data Fundamentals Training

    Engaging in Microsoft Azure Data Fundamentals training offers several valuable benefits. You'll acquire foundational knowledge of data concepts and Azure's role in data management. This opens doors to diverse data-related careers, including data analyst, data engineer, and database administrator. The training enhances your proficiency in utilizing Azure services for data solutions. It also emphasizes data security, prepares you for a recognized certification, and provides practical experience for real-world challenges. Your new found skills support data-driven decision-making and promote ethical AI practices, enhancing your employability and career growth opportunities.

  • Fundamental Skills Develop a solid grasp of essential data concepts and Azure's role in data management.
  • Diverse Career Paths Unlock opportunities in data-related roles like data analyst, data engineer, and database administrator.
  • Azure Proficiency Gain hands-on experience with Azure services, enhancing your ability to leverage the platform for data solutions.
  • Data Security Expertise Learn data security and privacy best practices, crucial for safeguarding sensitive information.
  • Certification Achievement Earn a recognized certification, validating your skills and boosting your professional credibility.
  • Continuous Learning Use this training as a foundation for pursuing more advanced Azure and data-related certifications.
  • Practical Application Apply your newfound knowledge to real-world scenarios, enhancing your readiness for data management challenges.
  • Data-Driven Decisions Acquire the skills to extract valuable insights from data, supporting well-informed business choices.
  • Career Advancement Increase your employability and potential for growth in data-centric roles.
  • Ethical AI Understanding Comprehend the ethical and responsible use of AI technologies, aligning with industry standards and regulations.
  • Course Curriculum

    1. Course Curriculum

    The Azure AI Fundamentals course delves into essential AI concepts and their practical implementation on the Azure platform. It covers AI workloads, machine learning basics, and an introduction to Microsoft Azure. The curriculum includes a thorough exploration of Azure AI services like Azure Machine Learning, Computer Vision, and Natural Language Processing. Students gain hands-on experience by building AI solutions with Azure Machine Learning. They also learn about computer vision, natural language processing, and the creation of conversational AI using Azure Bot Service.

    2. Introduction To Artificial Intelligence (AI)

  • Understanding AI concepts and their significance.
  • AI Workloads and Use Cases
  • Exploring various AI applications and real-world use cases.
  • 3. Machine Learning Basics

  • Learning the fundamentals of machine learning, including algorithms and models.
  • 4. Introduction To Microsoft Azure

  • Familiarization with the Azure cloud platform and its role in AI.
  • 5. Azure AI Services Overview

  • In-depth coverage of Azure's AI services, including Azure Machine Learning, Computer Vision, and Natural Language Processing.
  • 6. Building AI Solutions With Azure Machine Learning

  • Practical hands-on exercises using Azure Machine Learning to create machine learning models.
  • 7. Computer Vision In Azure

  • Exploring computer vision technologies, image analysis, and Azure Computer Vision services.
  • 8. Natural Language Processing (NLP) In Azure

  • Understanding NLP concepts, language understanding, and the use of Azure NLP services like Azure Text Analytics.
  • 9. Conversational AI Concepts

  • Introduction to chatbots, virtual assistants, and building conversational AI solutions using Azure Bot Service.
  • 10. Responsible AI And Ethics

  • We discussed the ethical considerations in AI development, including fairness, transparency, and accountability.
  • Course Highlights

    project based training course

    Certified & Industry Experienced Trainers

    Beginner To Expert-Level Training

    Best-In-Class Training Curriculum

    Online & Offline Training Modes

    Project Deliverables

    1

    Sentiment Analysis

    2

    Image Classification

    3

    Language Translation

    4

    Chatbot

    5

    Face Recognition

    6

    Text-to-Speech

    who can apply

    Who Can Apply?

    AI-900 is designed for individuals at the entry level of AI and Azure.

    It's suitable for beginners who want to understand AI fundamentals.

    There are no specific prerequisites for this certification so anyone can apply.

    Those interested in Microsoft Azure and its AI capabilities can benefit.

    Students pursuing careers in AI and cloud computing can apply.

    Individuals changing careers to enter AI or cloud computing can start with AI-900.

    job roles

    Job Roles

    1

    AI Developer

    An Azure AI Developer is responsible for designing, developing, and implementing AI solutions on the Microsoft Azure platform. They create AI models, integrate AI into applications, and work on tasks like natural language processing and computer vision. This role leverages Azure services to build intelligent and data-driven applications.

    2

    Data Analyst

    A Data Analyst is a professional who interprets data and extracts meaningful insights. They collect, process, and analyze data to support business decision-making. Data Analysts use various tools and techniques to discover trends, patterns, and correlations within datasets, helping organizations make informed choices based on data-driven evidence.

    3

    Machine Learning Engineer

    An Azure Machine Learning Engineer specializes in designing and deploying machine learning models on the Microsoft Azure platform. They work with data, develop models, and deploy them into production environments using Azure Machine Learning services. This role focuses on creating scalable and efficient machine-learning solutions for various applications.

    4

    Data Scientist

    An Azure Data Scientist is responsible for using data to solve complex business problems. They employ Azure's data analytics and machine learning tools to extract insights, develop predictive models, and make data-driven recommendations. This role involves data exploration, feature engineering, model training, and delivering actionable insights to support decision-making within organizations.

    5

    AI Solutions Architect

    An Azure AI Solutions Architect is an expert in designing and implementing AI solutions on Microsoft Azure. They create AI strategies, design system architectures, and select appropriate Azure services to build AI-powered applications. This role ensures that AI solutions align with organizational goals and meet performance, scalability, and ethical standards.

    6

    Business Intelligence Analyst

    An Azure Business Intelligence Analyst is responsible for leveraging Microsoft Azure services to gather and analyze business data. They create reports, dashboards, and data visualizations to provide insights for informed decision-making. This role focuses on transforming raw data into actionable information, helping organizations optimize their operations and strategies.

    Career Services

    profile building profile building

    profile building

    We help in Creating & growing your professional profile that will make you stand out in the professional world.

    interview preparation

    We conduct multiple mock interview sessions with various tips & tricks that will make you habitual & confident in an interview environment.

    interview preparation interview preparation
    job placement job placement

    job placement

    Our dedicated team continuously works on finding & providing multiple opportunities for the students and provides 100% placement assistance.

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    certificate

    Certification

    The Microsoft Azure AI Fundamentals certification, also known as the Azure AI 900 course, is an introductory credential that provides a foundational understanding of artificial intelligence (AI) and its integration into the Microsoft Azure cloud platform. This certification is an excellent starting point for individuals looking to explore AI concepts and their practical applications. Azure AI Fundamentals Course Training covers a wide range of topics, including AI workloads and their real-world use cases, machine learning fundamentals, Azure AI services, computer vision, natural language processing, and conversational AI. It also emphasizes responsible AI practices and ethics, ensuring that candidates are aware of the ethical considerations in AI development.

    AI 900 Certification Course is valuable for beginners, students, IT professionals, business analysts, and anyone interested in AI and Azure. It is a gateway to further AI-related certifications and provides a strong foundation for understanding AI concepts and how they are implemented in the Azure ecosystem. By earning the AI-900 certification, individuals can validate their knowledge and enhance their employability in AI-related roles.

    Frequently Asked Questions

    1. What are Azure AI fundamentals?

    Azure AI Fundamentals, or Microsoft AI-900, is an entry-level certification that imparts foundational knowledge of artificial intelligence (AI) and its implementation within the Microsoft Azure platform. It covers AI concepts, Azure AI services, machine learning basics, computer vision, natural language processing, and responsible AI practices. This certification is ideal for those new to AI and Azure.

    2. Is Azure AI Fundamentals worth it?

    Yes, the Azure AI Fundamentals (AI-900) certification is worth it for beginners and those seeking a foundational understanding of AI and its integration with Azure. It validates knowledge in a rapidly growing field, enhancing employability and providing a strong base for more advanced Azure and AI certifications.

    3. Is Azure AI Fundamentals hard?

    The difficulty of Azure AI Fundamentals (AI-900) varies based on individual familiarity with AI concepts. For those new to AI, it can be challenging, but with appropriate preparation and study, it's manageable. The certification's fundamental nature makes it accessible for beginners with the right learning resources.

    4. Is Azure AI a good career?

    Yes, a career in Azure AI is promising. The demand for AI solutions is growing across industries, offering numerous opportunities. Roles like AI developer, data scientist, and AI solutions architect are in demand, making it a viable and rewarding career choice for those interested in artificial intelligence and cloud computing.

    5. Is AI 900 for beginners?

    Yes, the AI-900 (Azure AI Fundamentals) certification is designed for beginners. It covers foundational AI concepts and their integration with Microsoft Azure, making it an ideal starting point for those new to AI and cloud computing.

    6. What jobs can I get with AI 900?

    Earning the AI-900 certification opens doors to various job roles, including AI developer, data analyst, machine learning engineer, business intelligence analyst, AI solutions architect, and AI consultant. It's a stepping stone for entry-level AI and Azure-related positions across different industries.

    7. What is the benefit of AI 900?

    The AI-900 certification benefits by validating foundational knowledge in AI and Azure. It enhances employability in AI-related roles, helps beginners explore AI concepts, and acts as a starting point for advanced certifications. The certification's recognition and industry demand make it a valuable asset for career growth.

    8. What is Azure AI engineer?

    An Azure AI Engineer is a professional who specializes in creating and deploying AI solutions on the Microsoft Azure platform. They develop AI models, integrate AI capabilities into applications, and ensure that AI projects on Azure meet performance and ethical standards. This role focuses on building intelligent and data-driven applications.

    9. Are Microsoft AI certifications worth it?

    Yes, Microsoft AI certifications are worth pursuing as they validate expertise in AI technologies and their application within Microsoft Azure. These certifications enhance career prospects, demonstrate proficiency in AI concepts, and are valuable in today's data-driven and AI-focused job market.

    10. What is the salary of an Azure AI developer in India?

    The salary of an Azure AI Developer in India can vary based on experience and location. On average, junior AI developers can earn around ₹6-10 lakh per annum, while experienced professionals with multiple years of experience may earn salaries ranging from ₹10-20 lakh or more annually.

    Brillica Services- Microsoft Azure AI Fundamentals Course (AI-900)

    2nd & 3rd Floor, Brillica Services, Shimla Bypass Rd, opp. Bank of India, PNB Vihar, Majra, Shewala Kala, Dehradun, Uttarakhand 248001