The Certified Artificial Intelligence Practitioner™ (CAIP) training program is designed for data science practitioners entering the field of artificial intelligence who are seeking to build a vendor-neutral, cross-industry foundational knowledge of AI and Machine Learning (ML) concepts, technologies, algorithms, and applications that will enable them to become a capable practitioner in a wide variety of AI-related job functions.
In this course, you will implement AI techniques in order to solve business problems.
• Specify a general approach to solve a given business problem that uses applied AI and ML.
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects.
Lesson 1: Solving Business Problems Using AI and ML
Lesson 2: Collecting and Refining the Dataset
Lesson 3: Setting Up and Training a Model
Lesson 4: Finalizing a Model
Lesson 5: Building Linear Regression Models
Lesson 6: Building Classification Models
Lesson 7: Building Clustering Models
Lesson 8: Building Advanced Models
Lesson 9: Building Support-Vector Machines
Lesson 10: Building Artificial Neural Networks
Lesson 11: Promoting Data Privacy and Ethical Practices
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for
many organizations. When used effectively, these tools provide actionable insights that drive critical
decisions and enable organizations to create exciting, new, and innovative products and services. This
course shows you how to apply various approaches and algorithms to solve business problems through AI
and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to
develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course
includes hands on activities for each topic area. For a detailed outline including activities, hardware
requirements and datasets please contact
Machine Learning Scientist
Conversation/Content interface writer
Machine Learning Engineer
Robotics Process Analyst
Digital Knowledge Manager
Digital Knowledge Manager
Business Intelligence Data Analyst
Director of Business Intelligence
AI Research Scientist
Business Intelligence Developer
Business Intelligence Analyst
The blended training methodology coupled with practical hands-on experience with highly equipped classroom infrastructure and the best of internationally certified trainers makes us unique.
Calicut, Kochi, Mangalore, Kottakkal, and Trivandrum.
We designed courses that serve the ongoing demands in the industry. With our certifications, thousands of students reached their destinations in cybersecurity careers.
You just need to have knowledge of the general operations of computers. Once you finish the course, a lot of hands-on practice would make one a good Hacker. if you know the basics of computer networks. Else, we recommend you do the 6-day version, where the first day is spent in understanding the network and operating system fundamentals.
Definitely you can. We provide online training with flexible schedules.
The exponential convergence of Telecommunication made the industry verticles to shift the Human – Machine integrations and thus turned the threat landscape extended. There are unfilled openings in Health care, financial sectors like banks and other firms, manufacturing companies, aeronautical spaces, maritime industries, etc..