Advanced Machine Learning Engineering

Online Course | 40 hour | Certificate Included
Master complex algorithms, model deployment, and cutting-edge technical expertise in this specialized program.
5.0
(1)
1 Enrolled
40 hours

About Course

Master complex algorithms, model deployment, and cutting-edge technical expertise in this specialized program.                                                                                                                        The “Advanced Machine Learning Engineering” course at IFACET IITK is an intensive program designed for those aiming to delve deeper into machine learning. Spanning 2 months and totaling 40 hours, the course encompasses modules on supervised and unsupervised learning algorithms, model evaluation and selection, feature engineering and selection, and model deployment and scalability. It’s suited for individuals with a background in programming, data analytics, or database management, including CXO-level and middle management professionals. This comprehensive program promises hands-on experience with practical projects, offering a certificate upon successful completion.

Overview of course – 

  • Start Date : 15th Jan 2023
  • Course Type:  Comprehensive 40-hour program
  • Duration: 40 hours 
  • Total Lectures: 20
  • Skill Level: Intermediate
  • Assessments: Assignments & Projects 
  • Certificate: Yes 

For Self-Paced Programs: 2 Doubt Session(s)/Master Classes

Faculty Members – 

  • S. Aggarwal
  • Nandan Mishra
  • Niraj T.
  • Shantam D.
  • U. Tiwari
  • S. Garg

Delivery Mode & Duration – 

  • Online Live Mode- 2 Months (40 Hours Online Live sessions + 60 Hours of Assignment and Hands on)
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What Will You Learn?

  • Gain proficiency in machine learning engineering principles and application.
  • Develop expertise in supervised and unsupervised learning algorithms.
  • Master model evaluation, selection, feature engineering, and scalability.
  • Hands-on experience in developing and deploying machine learning models.

Requirements

  • Solid understanding of basic programming and machine learning concepts.
  • Recommended prior knowledge in AI technologies.
  • Suitable for data scientists, AI engineers, researchers, and professionals looking to specialize in generative AI.
  • Familiarity with mathematics is beneficial but not mandatory.

Audience

  • Ideal for anyone who wishes to learn the fundamentals of machine learning engineering and pursue a career in this rapidly growing field.
  • Suitable for individuals with a background in programming, database management, or data analytics.
  • Also beneficial for CXO-level and middle management professionals looking to enhance their analytics capabilities.

Course Content

Supervised and Unsupervised Learning Algorithms (10 hours)

  • Introduction to supervised and unsupervised learning

Instructors

I

ikigaischool

4.4
25 Students
15 Courses

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  1. 2 years ago
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