Search
4323 Partipants
Looking for Corporate TrainingLearn to set up different types of AI and ML models.
Certified Artificial Intelligence Practitioner (CAIP) Certification Training
Your wait is over if you want to integrate AI solutions effectively into various business contexts. Vinsys invites you for the Certified Artificial Intelligence Practitioner (CAIP) certification training. This 5-day rigorous program will make you proficient in developing, testing, and deploying A
Certified Artificial Intelligence Practitioner (CAIP) Certification Tr
Apply AI and ML to fix business problems.
Get training from certified and experienced mentors.
Find unprecedented career advancement.
Course Overview
If you have a good understanding of AI with experience in data analysis and a programming language, the Certified AI Practitioner course is for you. It will simplify your business issues by allowing you to use AI and ML strategically. The course module is comprehensive. It starts with identifying the right AI or ML-powered tools to fix various business problems. The study includes how and when to collect data using AI to identify problems and prepare effective solutions.
Our experts will familiarise you with a machine learning model to learn patterns in data and make predictions. We have separate modules discussing various types of models, including linear regression models, classification models, clustering models, and advanced models. These are crucial models to gain a foundational understanding of analysing and extracting insights from data.
You will gain a close understanding of Artificial Neural Networks, which can process data in a way that mimics the human brain to recognise patterns, forecast, and solve other complex problems. The course also promotes data privacy and ethical practices so that companies can use AI technology without the fear of data breaches.
Loading...
Course Objectives
Participating in this course, you will:
- Understand the impact and advantages of AI and ML for businesses.
- Analyse the value of AI tools to collect and analyse data for real-time actions.
- Learn to use the linear regression model for forecasting and predicting continuous values.
- Assess classification models to categorise data into distinct classes for binary decisions.
- Evaluate culturing models for detecting anomalies and customer reviews.
- Learn about advanced models to tackle complex non-linear relationships.
- Understand SVM in AI to create a machine learning model to supervise the learning algorithm.
- Develop MLP and CNN under artificial neural networks to mimic the human brain’s neurons.
- Evaluate how to maximise the use of artificial intelligence for various business activities.
Audience
If you are skilled in software development, applied math and statistics, and business analysis, this program is designed to empower you. Whether you excel in one or two of these areas, enrolling in this program will equip you with the tools of AI and ML to solve real-world business problems.
Therefore, we recommend this course to:
- Programmers who want to apply machine learning algorithms to business problems
- Data analysts or practitioners skilled in applying math and statistics to business problems and want to integrate AI for machine learning but are looking to develop technology skills related to machine learning.
- Note: Remember, if you have spent quality time working in computing technology like computer programming, it is one of the best courses for you.
Eligibility Criteria
- A high-level understanding of fundamental AI concepts, including machine learning, supervised learning, unsupervised learning, artificial neural networks, natural language processing, and computer vision.
- Working as a data analyst and skilled in a programming language such as Python, Java, or C/C++.
- Please contact us for more details about the eligibility criteria.
Course Outline
Module 1: Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Appropriate Tools
Module 2: Collecting and Refining the Dataset
- Collect the Dataset
- Analyze the Dataset to Gain Insights
- Use Visualizations to Analyze Data
- Prepare Data
Module 3: Setting Up and Training a Model
- Set Up a Machine Learning Model
- Train the Model
Module 4: Finalizing a Model
- Translate Results into Business Actions
- Incorporate a Model into a Long-Term Business Solution
Module 5: Building Linear Regression Models
- Build a Regression Model Using Linear Algebra
- Build a Regularized Regression Model Using Linear Algebra
- Build an Iterative Linear Regression Model
Module 6: Building Classification Models
- Train Binary Classification Models
- Train Multi-Class Classification Models
- Evaluate Classification Models
- Tune Classification Models
Module 7: Building Clustering Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Mode
- Module 8: Building Advanced Models
- Build Decision Tree Models
- Build Random Forest Model Lesson
Module 8: Building Advanced Models
- Build Decision Tree Models
- Build Random Forest Model Lesson
Module 9: Building Supports Vector Machines
- Build SVM Models for Classification
- Build SVM Models for Regression
Module 10: Building Artificial Neural Networks
- Build Multilayer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
Module 11: Promoting Data Privacy and Ethical Practices
- Protect Data Privacy
- Promote Ethical Practices
- Establish Data Privacy and Ethics Policies
About The Certification
This CAIP certification from CERTNEXUS is widely recognised because it focuses on emerging technologies, including AI. CertNexus offers vendor-neutral certifications that are not associated with a specific software or hardware vendor, making them broadly applicable.
Choose Your Preferred Mode
Online Training
- Learn from experienced faculties.
- Get industrial-work exposure through cloud labs.
- Cost-effective courses to fit your budget and needs.
- Courses for IT, hospitality, and management.
Corporate Training
- Industry-focused courses to fill the skills gap.
- Develop skills and confidence to apply the learned techniques.
- Coordinate with each delegate to prepare custom programs.
- Track performance to provide high-quality training assistance.
FAQ’s
Why should I contact Vinsys for AI courses?
As a leading online education provider in India, the Middle East, and the USA, Vinsys is committed to expanding its network. With over 20+ years of experience, we offer the latest AI courses designed to enhance your skills and make you a competitive candidate in the AI field.
How long does the CAIP course last?
This is a short-term program. The live training will take 5 days to complete.
Can I join this program at my convenience?
You can join this course at your convenience through our self-study mode. Depending on how fast you complete the program, the duration will take longer here.
Do you offer the CAIP program to corporations?
Businesses can contact us for the CAIP program. We assign certified mentors to guide your workforce through the use of AI and ML.
Can beginners join the CAIP program?
The CAIP program is open to experienced data analysts, AI experts, and IT professionals with a strong knowledge of programming languages like C and C++. If you're unsure about your eligibility, feel free to contact us for guidance.
What is the AIP-210?
It is the exam code for the CertNexus CAIP exam. Once you pass the course, you will be eligible for the CertNexus CAIP certification.
What is the passing score for the CAIP exam?
The passing score will range from 59% to 60%.
Is the CAIP course popular?
Yes, the program is very popular because of the high demand for AI skills. Moreover, the CAIP program is vendor-neutral, meaning the knowledge you have gained will apply across different AI platforms.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
After joining this program, I have learned to effectively use AI models. The course has given me a deep insight into artificial neural networks, one of the most challenging aspects of AI.
Gopala KrishnaAI Engineer Associate
Our gratitude to Vinsys for equipping us with a deeper understanding of classification and cluster models. This knowledge has not only made data analysis easier.
Sameer TripathiDeep Learning Engineer
For any programmer aspiring to venture into the AI world, I highly recommend this course. It can be a stepping stone towards a promising future in AI.
Shivansh ShuklaLLM Expert
We have mastered the art of building various AI models, including linear regression, classification, clustering, and advanced models. These models have significantly improved our efficiency and data-driven decision-making process.
Sumit SainiOperation Management (NLP)
X
Select Language
X
Select Country
X
ENQUIRE NOW