About this Course

Artificial Intelligence is the new revolution of technology that enables machine to simulate human intelligence. It involves detailed understanding on advanced applications of AI in different industry verticals like retail, banking, finance, utilities, energy etc. Predictive Analysis is advanced data analysis that involves various learning algorithms and regressions – a close integration of Artificial Intelligence and predictive analysis helps an associate to understand the practical application of  Artificial Intelligence for the benefit of IT.

We aim to empower learners to deep dive in to basics of Artificial Intelligence and understand its application. This course blends Artificial Intelligence with Data structure to provide detailed technical insight of its application.

Why AI?

The artificial intelligence market is forecasted by Research and Markets to grow to USD 191 Billion by 2025 from USD 21 Billion in 2018, at a CAGR of 36.62% during the forecast period. This could be an underestimation. PWC has forecasted that by 2030 Artificial Intelligence will boost the global economy by 14% for more than a $15 trillion impact. Trends will be:
AI Software to hold largest market share during forecast period.
Market for computer vision technology to grow at highest CAGR during forecast period.
Companies such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), Facebook (US), and AWS (US) are complementing the growth of the market in this region.
The key players operating in this market will continue to be Intel (US), NVIDIA (US), Xilinx (US), Samsung Electronics (South Korea), Facebook (US), Micron Technology (US), IBM (US), Google (US), Microsoft (US), and AWS (US).

We will continue adding new courses in this section through continual research and market trends adaption

Intended Audience:

Who should take this Artificial Intelligence and Predicyive Analysis Training Course?

• This course is crafted for all who aspire to build a career in Artificial Intelligence engineering like AI Engineer, Business Analyst,
• Information architect and so on. We recommend this course to:
• Developers aspiring to be a data scientist or AI engineer
• Analytics managers who are leading a team of analysts
• Business analysts who want to understand Predictive Analysis techniques Information architects who want to gain expertise in Artificial Intelligence usage
• Analytics professionals who want to work in machine learning or artificial intelligence Graduates looking to build a career in data science and machine learning
• Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insights.

What you’ll Learn:

1. AI Basics
2. Machine Learning Basics
3. Basic Python Programming
4. Advanced Python Programming
5. Machine Learning Algorithms
6. UnSupervised Learning Algorithms
7. Deep Learning