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  • Different Artificial Intelligence Certifications

     Japo_Japo updated 3 months ago 1 Member · 1 Post
  • Japo_Japo

    Member
    September 3, 2021 at 10:02 am

    1. Introduction to Artificial Intelligence Course

    Simplilearn’s Artificial Intelligence courses is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning, be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

    2. Machine Learning Certification Course

    Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You’ll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.

    3. Artificial Intelligence Engineer Master’s Program

    Simplilearn’s Artificial Intelligence certification course, in collaboration with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you’ll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

    4. Simplilearn’s Artificial Intelligence (AI) Capstone Project

    Simplilearn’s Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. You’ll learn various AI-based supervised and unsupervised techniques like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, NLP, etc. The project is the final step in the learning path and will help you to showcase your expertise to employers.

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