Fundamentals of Programming
Data analysis, and visualisation
Foundations of natural language processing
Machine Learning
Data Mining Unsupervised learning
Neural networks
Computer Vision Deep Learning
Deep Learning Real-world case study
AI Expert
AI Trainer
Full-Stack Developer
Senior Data Scientist
Data Scientist
Course Duration: | Mandatory 90 hrs of training sessions with live projects to practice. Hours are inclusive of training sessions and hands-on project participation |
Curriculum Delivery: | Online Training, Onsite Training, Virtual Training, Corporate Training |
Timings & Schedules: | Both on Weekdays / Weekends |
Extras: | Mock Tests, Interview Questions & Answers will be covered along with course |
LAB Facility: | Our training courses are designed to provide an optimal learning environment. For students to learn to code or access our Cloud platform, we have a well-equipped lab facility with simulation tools and powerful processors that can run complex simulations and display scenes. Qualified lab tutors can provide students with the most up-to-date technologies and are experts in their field. In order to give our interns the finest training environment for learning different coding and software development skills, we also offer internships in this facility. |
Artificial Intelligence Course Contents: | Fundamentals of Programming, Data analysis, and visualisation, Foundations of natural language processing, Machine Learning, Data Mining Unsupervised learning, Neural networks, Computer Vision Deep Learning, Deep Learning Real-world case study. |
Certification: | JAIN University, Bangalore |
Advanced courses focus on preparing you for your career, and they offer many opportunities
for work experience as well as workshops and live briefings with employers.
Any graduates could join AIT’s Advance Course for securing a better career opportunity in
software application development courses.
Learners can unravel the mystery around artificial intelligence and its business
applications with the aid of
this Introduction to Artificial Intelligence (AI). An overview of machine learning, deep
learning, performance measures,
and AI ideas and procedures is provided in this course on artificial intelligence for
beginners.
The principles of statistics for machine learning, Python programming, data visualisation,
and feature engineering will all be
covered in the artificial intelligence certification curriculum. Once you complete your AI
Certification course, a position in
AI puts you on the fast track to a vibrant, ever-changing field that is expected to develop
dramatically and beyond.
→ Students in Computer or Maths and form EC, CSE & Statistics
background.
→ Individuals who are interested in becoming AI or machine learning engineers
→ Data Architects who wish to become familiar with AI methods and systems.
→ A team of analysts is managed by analytic managers.
→ Individual Attention
→ Career Guidance
→ Six Months Post Completion Internship
→ Live Project
→ Experience Certificate
→ Placement Assistance
→ University Approved Certification