Artificial Intelligence Training at Massive Tech- Artificial Intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human like tasks. AI is an interdisciplinary science with multiple approaches, but advancement in Machine learning and deep learning are creating paradigm shift in virtually every sector of the tech industry.
Artificial Intelligence is one of the most predicted in-demand job in coming future. According to IDC, the total spending on products and services that incorporate Augmented Reality or Virtual Reality concepts will soar from 11.4 billion as of 2017, to almost 215 billion by the year 2021. For AI aspirants it is a great news as the demand for such IT Professionals.
Prerequisites
- Good Knowledge in Python Programming is added advantage.
- Familiarity with Data Science
Key Features
- LIVE Instructor-led Classes
- 24x7 on-demand technical support for assignments, queries, quizzes, project, etc.
- Flexibility to attend the class at your convenient time.
- Server Access to Massive's Tech Management System until you get into your dream carrier.
- A huge database of Interview Questions
- Professional Resume Preparation
- Earn a Skill Certificate
- Enroll today and get the advantage.
Curriculum
- Learning Objective.
- What is AI?
- Python for AI
- Probability & Statistics
- Visualization Techniques
- Regression (Linear, Multiple and Logistics)
- Classification (K-NN, Naïve Bayes) Techniques
- Decision Tree
- K-means Clustering
- Hierarchical Clustering
- High dimensional Clustering
- Boosting
- Bagging
- Random Forest
- Value based Methods
- Q-learning
- Policy-based methods
- Neural Networks Basics
- Deep Neural Networks
- TensorFlow using Neural Networks & Deep Learning
- Statistical NLP and text similarity
- Text Summarization
- Syntax and Parsing techniques
- Semantics and Generation
- Convolution Neural Networks
- Keras Library for Deep Learning Python
- Pre-processing Image Data
- Object and face recognition using OpenCV
- Uniform and heuristic-based search techniques
- Planning and constraint satisfaction techniques
- Adversarial search and its uses
Have Any Questions?
We are happy to answer any questions and we appreciate every feedback about our work!