Artificial Intelligence (ML, DL, Neural Networks)
- Course Fee
- 120 hrs.
This 120-hour (Lectures + hands-on Lab) AI, Deep Learning, and Machine Learning course is designed to provide you with the knowledge, skills, and mastery needed to understand, design, and apply highly sophisticated, efficient, and scalable machine and deep learning models. Candidates will delve into the intricate world of artificial intelligence using Python, utilizing TensorFlow and PyTorch, and will explore both fundamental and advanced concepts across machine and deep learning. Throughout the course, candidates will transition through key areas starting from basic concepts like data preprocessing and linear regression to complex structures of neural networks and reinforcement learning. They will also engage in real-world AI challenges to consolidate their comprehension and acquire hands-on expertise. Furthermore, candidates will excel in evaluating model performance and fine-tuning, which are crucial competencies in creating optimized, solution-driven AI applications. This is a lab-intensive, project-based course, and objectives are achieved through hands-on learning.Enroll Now
This 120-hour (Lectures + hands-on Lab) AI, Deep Learning, and Machine Learning course is structured to endow you with the knowledge, skills, and expertise necessary for understanding, creating, and applying profoundly efficient, reliable, and scalable machine and deep learning models. Candidates will be instructed on devising intricate solutions using AI and ML algorithms and will navigate through a comprehensive range of topics, from foundational principles to advanced methodologies. Throughout the course, candidates will delve into critical areas, evolving from basic elements like data preprocessing and model evaluation to more sophisticated subjects such as neural networks and reinforcement learning. Moreover, candidates will become adept at performance analysis and the fine-tuning of AI models, essential skills in the field of high-performance problem-solving and intelligent system design. Candidates will engage in numerous coding exercises and projects aimed at honing their analytical thinking and reinforcing the concepts presented in the lectures. This is a lab-intensive, project-based course and objectives are accomplished through hands on learning. The key to a high success rate is based on the program’s objectives as follows:
- Course contents are based on industry best practices.
- Dedicated Monitoring to evaluate and report candidate’s progress.
- Extensive hands-on lab exercises.
- Industry acclaimed, experienced and certified instructors.
RST Forum has trained more than 700,000 students to date. Many students have gone on to successful careers in a variety of industries, while others have harnessed the entrepreneurial spirit and knowledge they acquired in RST Forum to start their own businesses and create new jobs.
Labs on cloud
RST Forum uses Cloud computing to efficiently provide “Platform As A Service” (PAAS) to its students enabling them to quickly access Technology Racks over the internet and practice lab exercise from home These Racks are populated with latest equipment’s required for practical exercise’s.
Our web based forum allows its users to ask, hundreds of technical experts about their technology and certification problem. RST forum is a tight knit community of working professionals that provide timely help on technical, certification and design related queries.