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CertNexus - Certified Artificial Intelligence Practitioner
Overview
This accelerated Certified Artificial Intelligence Practitioner™ (CAIP) course, is an in-demand, fast-growing training program and certification designed for data practitioners desiring to get equipped with vendor-neutral, cross-industry knowledge of Artificial Intelligence (AI) concepts and skills. It enables you to select, train, and implement Machine Learning solutions.
Artificial intelligence (AI) and machine learning (ML) have become essential parts 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, all while following a methodical workflow for developing data-driven solutions.
The Certified Artificial Intelligence Practitioner™ (CAIP) has emerged as the industry standard for those desiring to confirm their AI and ML skills.
To be an effective Machine Learning Practitioner, you require hands-on practice. CertNexus CAIP training covers artificial intelligence concepts while providing ample opportunities to practice the required skills of a ML professional.
In just 4 days, you’ll learn to develop AI solutions for business problems. You’ll also learn how to:
- Solve a given business problem using AI and ML.
- Prepare data for use in machine learning.
- Train, evaluate, and tune a machine learning model.
- Build linear regression models.
- Build forecasting models.
- Build classification models using logistic regression and k -nearest neighbour.
- Build clustering models.
- Build classification and regression models using decision trees and random forests.
- Build classification and regression models using support-vector machines (SVMs).
- Build artificial neural networks for deep learning.
- Put machine learning models into operation using automated processes.
- Maintain machine learning pipelines and models while they are in production.
At the end of this course, you’ll sit the CertNexus exam, and achieve your Certified Artificial Intelligence Practitioner™ (CAIP) certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
Audience
This course is ideal for:
- Practitioners who are seeking to demonstrate a vendor neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, implement, and hand off an AI solution or environment.
- Those looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems.
- Data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decision making products that bring value to the business.
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Zeven redenen waarom u met uw cursus voor Firebrand Training moet kiezen
- U zult in slechts 4 dagen gecertificeerd zijn. Met ons bent u in recordtijd getraind
- Onze cursus is all-inclusive. Een eenmalige contributie bekostigt alle cursusmaterialen, accommodaties en maaltijden.
- Slaag de eerste keer voor of volg de training nogmaals. Dit is onze garantie. Wij zijn er zeker van dat u de eerste keer zult slagen voor uw cursus. Mocht dit niet het geval zijn, dan kunt u binnen het jaar terugkomen en enkel voor de accommodatie en examens te betalen. De rest is gratis
- U zult meer leren. Een dag met een traditionele training aanbieder duurt over het algemeen van 9 uur 's ochtends tot 17 uur in de middag, met een lange lunchpauze. Met Firebrand Training kunt u rekenen op minstens 12 uur leren per dag met uw instructeur
- U zult snellerde theorie beheersen. De kans bestaat dat u een andere manier van leren heeft dan uw omgeving. Wij combineren visuele, auditieve en tastbare leerstijlen, dit zorgt voor een snellere en eenvoudigere manier van leren
- U zult studeren met de beste. We hebben het Q-For kwaliteit label, dat onze standaarden en professionaliteit in de training markt erkent. Naast het winnen van nog vele andere prijzen, hebben we inmiddels 134561 professionals getraind en gecertificeerd en we zijn partners met alle grote namen in deze tak van het bedrijfsleven
- U zult meer doen dan alleen de cursusstof bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat u uw nieuwe kennis in uw werkomgeving kan toepassen. Onze instructeurs gebruiken demonstraties en hun eigen ervaringen om de dag interessant en boeiend te houden
Benefits
Curriculum
- Module 1: Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning
- Module 2: Preparing Data
- Collect Data
- Transform Data
- Engineer Features Topic D: Work with Unstructured Data
- Module 3: Training, Evaluating, and Tuning a Machine Learning Model
- Topic A: Train a Machine Learning Model
- Topic B: Evaluate and Tune a Machine Learning Model
- Module 4: Building Linear Regression Models
- Build Regression Models Using Linear Algebra
- Build Regularized Linear Regression Models
- Build Iterative Linear Regression Models
- Module 5: Building Forecasting Models
- Topic A: Build Univariate Time Series Models
- Topic B: Build Multivariate Time Series Models
- Module 6: Building Classification Models Using Logistic Regression and k-Nearest Neighbor
- Train Binary Classification Models Using Logistic Regression
- Train Binary Classification Models Using k-Nearest Neighbour
- Train Multi-Class Classification Models
- Evaluate Classification Models Topic E: Tune Classification Models
- Module 7: Building Clustering Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Models
- Module 8: Building Decision Trees and Random Forests
- Build Decision Tree Models
- Build Random Forest Models
- Module 9: Building Support-Vector Machines
- Build SVM Models for Classification
- Build SVM Models for Regression
- Module 10: Building Artificial Neural Networks
- Build Multi-Layer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
- Build Recurrent Neural Networks (RNN)
- Module 11: Operationalizing Machine Learning Models
- Deploy Machine Learning Models
- Automate the Machine Learning Process with MLOps
- Integrate Models into Machine Learning Systems
- Module 12: Maintaining Machine Learning Operations
- Secure Machine Learning Pipelines
- Maintain Models in Production
Exam Track
At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:
Certified Artificial Intelligence Practitioner™ (CAIP) Exam AIP-210
- Duration: 120 Minutes
- Format: Multiple Choice/Multiple Response
- Number of questions: 80
- Passing score: 60%
What's Included
Prerequisites
Before attending this accelerated course, you should have:
- Several years of experience with computing technology, including some aptitude in computer programming.
OR
- Be familiar with the concepts that are foundational to data science, including:
- The overall data science and machine learning process from end to end: formulating the problem; collecting and preparing data; analysing data; engineering and pre-processing data; training, tuning, and evaluating a model; and finalizing a model.
- Statistical concepts such as sampling, hypothesis testing, probability distribution, randomness, etc.
- Summary statistics such as mean, median, mode, interquartile range (IQR), standard deviation, skewness, etc.
- Graphs, plots, charts, and other methods of visual data analysis.
- Be comfortable writing code in the Python programming language, including the use of fundamental Python data science libraries like NumPy and pandas.
Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.
Beoordelingen
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'
"It's a third course I have with this instructor. His classes are fast-paced and well structured."
Anonymous. (8/1/2024 (Maandag) t/m 10/1/2024 (Woensdag))
"A super engaging and pleasant lecturer."
Michael White, Lloyds Banking Group. (10/7/2023 (Maandag) t/m 12/7/2023 (Woensdag))
"Facility is excellent. Training delivery and interaction with the trainer also excellent and the material is straightforward to follow with a good mix of theory and practical."
Mark Jeffery, Lloyds Banking Group. (10/7/2023 (Maandag) t/m 12/7/2023 (Woensdag))
"Our trainer kept the course very interesting and now I feel equipped with even more knowledge which I can bring to the working world."
Anoniem (3/7/2023 (Maandag) t/m 5/7/2023 (Woensdag))
"A very useful and informative event that will help my career."
Anoniem (3/7/2023 (Maandag) t/m 5/7/2023 (Woensdag))