AI - ML Engineer

AI-Data Analyst – A fast track to the success.
 

Start Date

April 06, 2026

Course Duration

390 Hrs

Start
Date

10 June 2024

Course Duration

320 Hrs

Instructors

Prakash, Srinivas + 2 more

About Program

The “AI – Machine Learning Engineer” program trains individuals for roles in the IT-ITeS sector, focusing on AI, Big Data Analytics, product engineering, software development, and workplace management. Participants gain competencies in employing development tools, effective collaboration, and maintaining health and safety standards. The program equips them to understand business requirements, create compelling data-driven narratives, and collaborate with Data Scientists in complex model development. Upon completion, they master data inspection, transformation, statistical analysis, visualization, and machine learning, becoming adept at supporting strategic decision-making within the business intelligence landscape.

Key Features

Why choose us?

Employability Skill
Live Project / Internship
Interview Preparation
Placement Assistance

Training Option

Tools & Softwares

Salary Scale

Maximum
6 LPA
Average
4 LPA
Minimum
2.5 LPA

Job Role

Our Alumni Work at

Course Curriculum

  • Overview of AI & Big Data Analytics and their societal impact
  • Roles and career paths in AI & Big Data Analytics
  • Key responsibilities of a Machine Learning Engineer
  • Skills and behaviours expected from a Machine Learning Engineer
  • Growth opportunities in the field
  • Idea Prioritization
  • Stages of Development
  • Feasibility and Planning
  • Competitive Advantage
  • Programming Practices
  • Automation and Scripting
  • Tools Utilization
  • System Configuration
  • Software Development Needs
  • System Limitations
  • Data Flows
  • Performance Evaluation
  • Algorithm Efficiency
  • Technical Specifications
  • Requirement Translation
  • Parallel Programming
  • Development Tools
  • Testing and Refinement

Certification

Testimonials

Frequently Asked Questions

The program is designed to equip students with skills in artificial intelligence (AI) and machine learning (ML), covering topics like data analysis, algorithm development, and AI-powered applications.

Basic knowledge of programming, particularly in Python, and an understanding of mathematics, including linear algebra and statistics, are recommended.

Key topics include machine learning algorithms, data analysis, AI ethics, natural language processing, computer vision, and deep learning.

Certifications from recognized industry bodies like NASSCOM, NSDC, and Skill India.

Yes, the course includes practical projects for real-world experience.

Tools like Python, Jupyter Notebook, SQL, Tableau, and various machine learning libraries are covered.

Roles such as Machine Learning Engineer, Business Analyst, AI Developer, and Data Scientist.

Yes, Rooman Technologies offers free demo sessions to give prospective students a preview of the course content and teaching methodology

The instructors are industry experts with extensive experience working with leading technology companies such as CISCO, WIPRO, and Infosys

You can enroll by visiting the Rooman Technologies website, filling out the necessary details, and following the enrollment procedure. For guidance, you can also contact their support team