Certified Artificial Intelligence Practitioner (CAIP)
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Velosi is conducting Certified Artificial Intelligence Practitioner Training online.
The Certified Artificial Intelligence Practitioner (CAIP) program is designed for data science practitioners who are new to the field of artificial intelligence and want to build a vendor-neutral, cross-industry foundational knowledge of AI and Machine Learning (ML) concepts, technologies, algorithms, and applications that will encourage them to become a capable practitioner in a wide range of AI-related job functions. Artificial intelligence (AI) and machine learning (ML) have become critical components of many organizations' toolkits. These tools, when used effectively, provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
Velosi has a “learn to ace” approach, our team comprises professional and expert trainers who ensure to enhance your ability and skills through grasping knowledge about the specified course effectively. This course intends to provide extensive knowledge about AI and machine learning to solve crucial business problems, following a methodical workflow to develop sound solutions, and how to use open-source, off-the-shelf tools necessary to develop, test, and deploy proper solutions while ensuring protected privacy of the user. This specialized course for data science professionals transitioning into the field of artificial intelligence will prepare participants for the CAIP certification exam.
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By completing this course, participants will be able to:
- Identify and evaluate business problems that AI/ML can solve as well as the specific AI/ML technologies solutions.
- Apply machine learning algorithms to the two most common supervised problems, regression, and classification, as well as a common unsupervised problem, clustering.
- Have a clear understanding of the workflow's key tasks, such as data analysis and model training, as well as how machine learning tasks can be automated.
- Investigate cutting-edge algorithms used in both machine learning and deep learning.
- Create a number of efficient models to solve business problems within a workflow.
- Describe the general approach to solving a specific business problem that makes use of applied AI and ML.
- Gather and fine-tune a dataset in preparation for training and testing.
- Complete a machine learning model and present the findings to the appropriate audience.
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Training will be conducted via Microsoft Team Meeting. Meeting invites will be shared on the day before the first day of training.
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Training will be conducted via Microsoft Team Meeting. Meeting invites will be shared on the day before the first day of training.
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- Presentation Slides
- Training Recordings
- Study References
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Upon successful completion of training, participants will receive “Certified Artificial Intelligence Practitioner Course Completion” certificate.
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This course is appropriate for a wide range of professionals but not limited to:
- Individuals having knowledge or strong grip on one or two subjects, software development, applied math and statistics, and business analysis.
- Individuals/students working under the role of programmer interested to apply machine learning algorithms to business problems, or a data analyst who already knows how to apply maths and statistics to business problems.
- Individuals having several years of experience with computing technology, as well as some computer programming ability.
- Individuals who wish to enhance their career opportunities in the field of technology, data science in line with the business.
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To be successful in this course, participants should have a solid understanding of fundamental AI concepts such as machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing and be familiar with databases and a high-level programming language like Python, Java, or C/C++.
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This exam will certify that the candidate possesses the knowledge and skill set of AI concepts, technologies, and tools required to become a capable AI practitioner in a wide range of AI-related job functions. The Certified Artificial Intelligence Practitioner (CAIP) certification is valid for three years from the date of issue. To maintain continuously valid certification, you must retake the most recent version of the exam before the 3-year period expires.
Learn more: https://certnexus.com/certification/caip/
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Participants can avail a discount of either an early bird or group discount whichever is higher with an additional discount when signing up for 2 or more courses.
Group Discount (same company only)
- 15% Discount for groups of 5 or more
- 10% Discount for groups of 3-4
Bundle Discount
- Sign up for 2 courses and get an extra 10% off
- Sign up for 3 courses and get an extra 15% off
Course Outline
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- Introduction to AI for business professionals
- Course description and technical requirements
- Fundamentals of AI
- Artificial intelligence concepts
- Machine learning and deep learning approaches
- Artificial intelligence implementations
- Data science and its search engines
- Natural language processing
- Computer vision essentials
- Robotics
- AI's Impact, Benefits and Challenges
- AI's Business Use Cases for AI
Past Trainings
From | To | Status | Type |
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Completed | Training |