Course Description

  • What is an AI Capstone project?

    A Capstone project is the final phase of the AI Engineer Master’s Program, built leveraging the learnings from the entire program. It is designed to help learners showcase their expertise in a specific domain to potential employers. The projects are co-created with industry experts and represent industry-specific challenges to help learners overcome typical business problems. The Capstone project is a great opportunity for students and professionals to pursue their dream career in this domain. 

  • What are the course objectives?

    This AI Capstone course end project will validate your expertise as a job-ready AI Engineer. You will learn to apply the knowledge, skills and capabilities you learned in the AI Engineer Master’s program and build a project on your own from start to finish. You will gain real-world exposure to modern AI challenges and learn to build your own models using supervised and unsupervised techniques and make better data-driven decisions. You will also have the flexibility to choose your own domain for the project.

  • What skills will you learn with this AI Capstone Project?

    Simplilearn’s online AI Capstone course will bring you through the AI decision cycle, including Exploratory Data Analysis, building and fine-tuning a model with cutting edge AI-based algorithms and representing results. The project milestones are as follows:

    1. Exploratory Data Analysis - In this step, you will apply various data processing techniques to determine the features and correlation between them, transformations required to make the data sense, new features construction, etc.

    2. Model Building and fitting - This will be performed using machine learning algorithms like regression, multinomial Naïve Bayes, SVM, tree-based algorithms, etc.

    3. Unsupervised learning - Clustering to group similar kind of transactions/reviews using NLP and related techniques to devise meaningful conclusions.

    4. Representing results - As the last step, you will be required to export your results into a dashboard with meaningful insights.

  • Who should take this course?

    Anyone who is interested in upscaling their skill sets in AI and Machine Learning can take this course to become familiar with real-world industry-specific problems and solutions.

  • What are the prerequisites to take this course?

    You should complete Simplilearn’s AI Engineer Master’s program in order to take this project
    Alternatively, the learner must be proficient in Python, Data Science, Machine Learning and Deep Learning with Tensorflow in order to take up this course. Below are the recommended courses for this-

    1. Data Science with Python
    2. Machine Learning
    3. Deep Learning with TensorFlow

Course Preview

    • Exploratory Data Analysis

      • Exploratory Data Analysis
    • Model Building and fitting

      • Model Building and fitting
    • Unsupervised learning

      • Unsupervised learning
    • Representing results

      • Representing results
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      • How is this training conducted?

        The course is conducted via live virtual classroom, where you will be guided and trained by our dedicated faculty of industry experts. 

      • What certification will I receive after taking this course?

        After completing this course, you will achieve the final milestone for becoming a job-ready AI Engineer. You will be awarded a Capstone completion certificate that will validate your skill-set in the AI and Machine Learning domain. The capstone project is a practical demonstration of your expertise that can be shown to prospective employers.

      • What is the cost of this course?

        This AI Capstone project is included with the AI Master’s Program curriculum. It is the last milestone in the learning path to become a certified AI Engineer. You can purchase our AI Master’s Program course to access this Capstone project. 
        You also have the option of purchasing this project individually with the price mentioned on this page.

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          • Disclaimer
          • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.