Artificial Intelligence

Artificial Intelligence

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Artificial Intelligence (AI) Certification Training Overview

AI today has manifested across multiple industries. From banking fraud detection to online customer support, the applications extend as far as creativity.

An emerging field with adoption capabilities across multiple fields of business, getting trained in an Artificial Intelligence course provides you a solid career enhancement opportunity. Some of the better recognized AI courses are :

  • Designing and Implementing an Azure AI Solution
  • TensorFlow Certification Training
  • Uipath: RPA Design and Development v2
  • Machine Learning (Data Science) with Python
  • Julia Programming Certification Training

Popular AI Certification Courses

  1. Designing and Implementing an Azure AI Solution

    Azure AI engineers are able to translate the ideas of solution architects into a complete end to end solution with the assistance of data scientists, data engineers, IoT specialists, and software developers. With the Designing and Implementing an Azure AI solution certification, professionals are able to:

    • Analyze the requirements for AI solutions specific to your organization
    • Recommend the tools and techniques appropriate to fulfill business objectives and needs
    • Design and implement AI solutions that offer scalability and performance requirements

    Candidates looking to sit in this Microsoft AI certification examination should possess subject matter expertise on utilizing cognitive services, machine learning, and knowledge mining. Candidates are also required to have knowledge and experience with designing and implementing AI applications in an enterprise.

  2. TensorFlow Certification Training

    For professionals looking to showcase their machine learning expertise, the TensorFlow certification training is a likely fit. The goal of the certification is to create an opportunity for students, developers, and data scientists to understand and demonstrate practical machine learning skills.

    In order to sit the certification, the professional must be comfortable with:

    • Foundational principles and knowledge of machine and deep learning
    • Building machine learning models in TensorFlow 2x
    • Building image recognition, object detection, text recognition algorithms with deep-running neural networks and convolutional neural networks
    • Utilizing images from real life in a variety of shapes and sizes to understand how a computer understands or "sees" information. This helps to plot loss and accuracy.
    • Exploring strategies to ensure overfitting does not occur. This includes augmentation and dropouts.
    • Applying neural networks to solve natural language processing concerns using TensorFlow.

    The TensorFlow certification offers an opportunity to enhance your machine learning proficiency, develop a globally recognized skillset, and a strong enhancement to resumes and recruiters

  3. Uipath : RPA Design and Development v2

    RPA or Robotic process automation covers the use of AI and ML to conduct repetitive tasks. RPA technology enables software robots to mimic human workers' abilities to log in and out of applications, input data, conduct calculations, and complete tasks. The objective of robotics automation is to offer a stronger customer experience and higher operational efficiency through better higher productivity and better execution across the day to day activities.

    The RPA Design and Development course offers comprehensive knowledge at a professional level about developing and deploying software bots. This AI course requires no prior knowledge or experience with RPA and is designed for industry professionals or students looking to gain a new skill set. The course begins with developing foundational concepts and introduces key RPA design and creation strategies specifically in the context of UiPath products.

  4. Machine Learning (Data Science) with Python

    The Machine Learning with Python is a comprehensive course that guides participants through the power of Python (one of the most popular programming languages) to analyze data, create stunning visualizations and utilize powerful machine learning algorithms

    Objectives of the course include:

    • Utilizing Python for Data Science and Machine Learning
    • Developing the ability to implement Machine Learning algorithms
    • Understanding the use of Pandas for Data Analysis
    • Understanding the use of Seaborn for statistical plots
    • Understanding the use of SciKit-Learn for Machine Learning tasks
    • K-Means Clustering
    • Linear Regression

    Some programming experience is recommended to sit this course. Both continuous assessments and final examinations are not necessary to gain accreditation.

  5. Julia Programming Certification Training

    Julia is a high-performing, high level, and extensively dynamic programming language. It is commonly used to conduct technical, numerical, and statistical computing. Utilized for everyday and general programming, Julia has become a staple for high quality yet rapid web development.

    The Julia programming certification training is offered across three comprehensive courses. The introductory course covers basic to intermediate knowledge. For more advanced comprehension, an "Advanced Julia" training program is available. Finally, for those looking for in-depth information about AI and ML applications, an "Artificial intelligence and Machine Learning in Julia" course is offered.

  6. Benefits of Artificial Intelligence Certification Training

    Artificial intelligence certification and training courses are offered to professionals and students at all levels of understanding and ability. Picking the right AI course is heavily dependent on the avenue you choose to explore within the rapidly developing AI domain. Getting AI certified guarantees enhanced professional opportunities.

    Getting Artificial Intelligence certified offers a number of benefits, including:

    • A growing number of professional opportunities as one in five companies use AI to fuel better decision-making.
    • Get the option of venturing into new and unconventional career paths. With over 2.3 million jobs created in the field by 2020, the opportunities are far and wide.
    • Artificial intelligence engineers earn upwards of $135,000 annually; the certification offers a firm increase in potential earnings.
    • Significantly better chances of advancement to an interview stage. Candidates with AI certification are considered of higher value and are more likely to get hired.