Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it.
We offer structured training in AI technologies. Our training workshops are meticulously designed toward maximizing learning efficiency. Our goal is to best prepare you for the transition most effectively and efficiently.
Training process
We take training and the whole process very seriously that’s why we have designed training offering as a product.
Some of the key features of our training process is :
- Text book provided prior to the training
- Training presentations and material is made available after completion of training
- Set up case studies on cloud as per client’s need and request.
- Answering doubts and support for practical case studies on cloud till 3 months beyond the completion of training.
Salient features of training offering
- One of the best faculty in industry
- Customised training as per industry/customer need
- Ideal mix of theory and practical
- Case studies choosen with relevence to client’s industry/domain
Following are the areas’s of our expertise in training
- Artificial Intelligence
- Scientific Python for Artificial Intelligence
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Artificial Intelligence for Senior Management
- One day Meeting with Artificial Intelligence
- Augemented and Virtual Reality
The training will be conducted by our trainers over a pre-decided number of sessions as per the specific needs. Training sessions comprise of both audio-visual assisted live lectures and practical labs, based on the audience. We train developers through extensive technical, conceptual lectures, coding exercises and capstone projects. We also coach senior leaders/managers to understand the AI ecospace well, build conceptual models and build an overall intuition on AI applications in various scenarios.
We also provide a unique concept of customized consultancy-based training programmes where we take up a live project in your company and help teams learn while achieving the goals of the projects
Reinforcement learning (RL) is an area of machine learning, inspired by behaviorist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. It is also referred to as Neural Networks.
In the three-dimensional Euclidean space, planes represent solutions of linear equations and their intersections represent the common solutions Linear algebra is the branch of mathematics concerning linear equations and linear functions and their representations through matrices and vector spaces. It is extensively used in Machine Learning
Tools and technology
