infyni

Artificial Intelligence Engineer Course

You will have gained a comprehensive understanding of artificial intelligence, from foundational principles to advanced applications. Whether you're a computer science professional, engineer, or aspiring AI enthusiast, this course will prepare you to design, implement, deploy AI solutions.

Live Course

Live Class: Monday, 25 Dec

Duration: 30 Hours

Enrolled: 0

Offered by: infyni

Live Course
$1875 50% off

$938

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About Course

Welcome to the Artificial Intelligence Engineer Course, where you'll embark on a comprehensive journey to master the principles, techniques, and applications of artificial intelligence (AI). This course is designed for individuals aspiring to become AI engineers, equipping them with the knowledge and skills needed to develop intelligent systems, machine learning models, and AI-driven solutions.

Course Objectives:

  1. Introduction to Artificial Intelligence:

    • Understand the fundamentals of AI, its history, and its various subfields.
    • Explore real-world applications of AI across industries.

  2. Machine Learning Fundamentals:

    • Dive into the basics of machine learning, including supervised and unsupervised learning.
    • Explore common machine learning algorithms and their applications.

  3. Data Preprocessing and Feature Engineering:

    • Learn how to preprocess and clean data for machine learning tasks.
    • Understand the importance of feature engineering in building effective models.

  4. Supervised Learning:

    • Explore in-depth supervised learning techniques, such as regression and classification.
    • Understand model evaluation metrics and techniques for improving model performance.

  5. Unsupervised Learning:

    • Delve into unsupervised learning methods, including clustering and dimensionality reduction.
    • Apply unsupervised learning to discover patterns and relationships in data.

  6. Deep Learning Fundamentals:

    • Understand the basics of neural networks and deep learning.
    • Explore popular deep learning architectures, including convolutional and recurrent neural networks.

Skills You Will Gain

Data Preprocessing Feature Engineering Reinforcement Learning AI Project Development AI Model Deployment and Ethics

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
1 What is Artificial Intelligence

  • Artificial Intelligence &

  • Data science, also known as data-driven science, is an interdisciplinary

    field of scientific methods, processes, and systems to extract knowledge or insights from data in

    various forms, structured or unstructured, similar to data mining.

  • The Data Science with Artificial Intelligence course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing, Deep Learning using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.
  • • Introduction to Data Science, ML, DL & AI - why is it so important? • Applications of Data science across industries • Business problems – Analytics scenarios • Analytics Industry in India, Job Market & Top Skills • Data Scientist Toolbox, Tool of choice- Python: what & why?
  • • Writing for loops in Python • List & Dictionary Comprehension
  • • Need for visual summary • Introduction to Seaborn
  • • Introduction to Neural Networks • Single layer neural network • Multiple layer Neural network • Back propagation Algorithm Neural Networks implementation in Python
  • • Installation of Keras • Deep Learning Concepts like Neural Networks • Searching for images: A case study in deep learning • Learning very non-linear features with neural networks • Application of deep learning to computer vision • Deep learning performance • Demo of deep learning model • Deep learning ML block diagram • CNN/RNN • Building A chat bot with NLP

...
Vinay Singh
About Instructor

I hold a PhD in Engineering, from IIT Bombay. My major area focusses on monitoring and production systems using IoT and Machine Learning applications. Area of interest are wireless sensor network, IOT, Conditional monitoring, Machine learning, Deep learning and Data Science. Had published several National and International research papers in prestigious journals. I am passionate for imparting and sharing my knowledge and had also earned several accolades in ML and AI areas.

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