Python
Data Mining
Supervised Learning
Unsupervised Learning
Neural networks
Computer Vision
Deep Learning
AI Expert
AI Engineer
Data Scientist
Machine Learning Engineer
| Course Duration: | 6 months of training classes with a hands-on project to practice. Provision of an optional 12 months internship including the training period. |
| 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 the 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 fields. 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. |
| Course Contents: | Python, Data Mining, Supervised Learning, Unsupervised Learning, Neural networks, Computer Vision, Deep Learning. |
Career Gap Courses in Computer Science and Information Technology with a duration of 6 months, are specifically designed to help individuals re-enter the workforce after a break. To keep participants aware of industry standards and practices, these courses offer a thorough study and update of the most recent technology breakthroughs. Data analysis, cybersecurity, software development, and programming languages are important areas of concentration. These courses attempt to close the gap between prior expertise and the changing expectations of the IT sector by providing practical skills and key subjects, allowing students to return to their employment with more confidence.
Artificial Intelligence is the imitation of human intelligence functions by machines, particularly computer systems. Examples of particular Al applications include expert systems, Machine Learning, natural language processing, speech recognition, and machine vision. The four primary areas of Al Reactive Machines, Theory of Mind, Limited Memory, and Self-Aware Al are examples of Artificial Intelligence that can accomplish jobs that would typically require human knowledge and skills but are instead controlled by computers. All of the intelligence functions required to implement Al will be covered in AlT's Artificial Intelligence course.
ATEES Industrial Training AI Programming Course includes Fundamentals, Foundations, Real-world Case Study, and job-oriented course content to make the candidates enrolling in the Artificial Intelligence training course professionally advanced in development.
→ Job Seekers, Freshers, Web Developers, Web Designers, Software Developer, Graduates, IT Professionals.
→ Optional post-completion Internship program
→ Live project during internship
→ Individual Attention
→ Course completion certificate
→ Experience Certificate
→ Career Guidance
→ Placement Assistance
→ Interview Assistance with Mock Interviews
