Artificial Intelligence & Predictive Analysis
About 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.
At Affluenz IT Academy, we 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
Key Features
- 40 – 80 hours of instructor led online training
- Certificate of completion
- 2 Real-life Industry Project
- Certificate of Internship
- Virtual Internship
- Dedicated awareness session from Industry experts
Online Classroom with virtual Internship
- 3 Weeks’ course
- 1 Week Live Project Internship
- Certificate of completion
- Certficate of Internship
9999/-
Online Classroom with Corporate Internship
- 6 Weeks’ course
- 2 Week Live Project Internship
- Certificate of completion
- Certficate of Internship
14,999/-
Corporate Training
- Self paced + Instructor led classes.
- Flexible pricing option.
Why Artificial Intelligence and Predictive Analysis
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).
Affluenz IT Academy will continue adding new courses in this section through continual research and market trends adaption
Who should take this Artificial Intelligence and Predictive Analysis Training course?
Affluenz IT Academy crafts this course to 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
Prerequisites of Artificial Intelligence Course
Participants in this Artificial Intelligence online course should have:
- Basics of statistics and mathematics
- Basic Data science concepts
Course Preview
4 Weeks course
Module 1: An Introduction to Artificial Intelligence
1a> What is AI?
1b> Different stages of AI and its application
Module 2: Data science basics
2a> Learning Algorithm
2b> Predictive analysis – Regression & Decision Tree
Module 3: Key AI applications
3a> Chatbots
3b> Face recognition
Module 4: Performance Analytics and Predictive dashboard
4a> Accuracy
4b> Precision
4c> specificity & Recall or sensitivity
- Module 5: Live Project on Artificial Intelligence
5a> Assessment on Artificial Intelligence
5b> Live Project on Artificial Intelligence
- Module 6: Certification & Closure
6a> Certification of Completion
8 Weeks course
Module 1: An Introduction to Artificial Intelligence
1a> What is AI?
1b> Different stages of AI and its application
Module 2: Data science basics
2a> Learning Algorithm
2b> Predictive analysis – Regression & Decision Tree
Module 3: Key AI applications
3a> Chatbots
3b> Face recognition
3c> Finger Prints recognition
3d> Anomaly detection
3e> Event correlation, aggregation & suppression
Module 4: Basics of Predictive Analytics
4a> What is Predictive Analysis
4b> Developing a Business Case
Model 5: Data Feasibility
5a> Variable Exploration & Model Feasibility
5b> Sample Design
5c> Predictive Modelling Techniques
5d> Evaluate Model Effectiveness
Module 6: Performance Analytics and Predictive dashboard
6a> Accuracy
6b> Precision
6c> specificity & Recall or sensitivity
- Module 7: Live Project on Artificial Intelligence
7a> Assessment on Artificial Intelligence
7b> Live Project on Artificial Intelligence
- Module 8: Certification & Closure
8a> Certification of Completion
8b> Internship Certificate
Sample Certification
- Certificate of Completion
- Internship Certificate