Artificial Intelligence Engineer Training
Artificial Intelligence Engineer Training Online by Checkmate IT Tech offer a transformative journey, elevating your expertise and mastering essential skills. Join our AI Engineer Training Program and gain the skills to design, build and deploy cutting-edge AI solutions. Gain a globally recognized credential to boost your career.
- 10+ Courses
- 30+ Projects
- 400 Hours
Software engineers and developers: Perfect for people who want to increase their technical proficiency in creating intelligent apps to move into AI-focused positions.
Data scientists and analysts: Ideal for experts who wish to improve their data modeling abilities using cutting-edge AI methods to address challenging business issues.
IT Professionals: Designed for IT professionals who want to enhance organizational systems with AI technology to enhance decision-making and procedures.
Tech Project Managers: Ideal for project managers in charge of AI initiatives who must comprehend AI principles in order to lead teams and produce fruitful results.
Computer science students and graduates: Ideal for recent graduates or students hoping to begin jobs in artificial intelligence and machine learning.
AI Engineer: Creating and deploying AI systems and models to address practical issues.
Machine Learning Engineer: Machine learning engineers are responsible for creating and incorporating machine learning algorithms into operational settings.
Data Scientist: Using AI to develop predictive models and analyze data.
AI Research Scientist: Researching AI techniques and technologies is the responsibility of an AI research scientist.
AI Consultant: Giving businesses advice on how to use AI to improve operations.
As AI becomes more widely used in sectors like healthcare, finance, technology, and manufacturing, workers in this area may expect to earn competitive pay and long-term career advancement in both the USA and Canada.
- Getting to know AI, ML, and Deep Learning
- Different kinds of AI (Narrow vs. General)
- Python for AI (NumPy, Pandas Basics)
- Math for AI (Basic Linear Algebra and Probability)
- Getting the Development Environment Ready
- Learning with and without supervision
- Algorithms for Regression
- Algorithms for Classification
- Metrics for Evaluating Models
- Too much fitting and too little fitting
- Cleaning up data and dealing with missing values
- Scaling and encoding features
- Methods for Choosing Features
- Visualizing Data
- Making ML Pipelines
- Random Forest and Decision Trees
- Support Vector Machines (SVM)
- Clustering (K-Means, Hierarchical)
- Cross Validation and Model Optimization
- Tuning Hyperparameters
- Getting to Know Neural Networks
- Functions of Activation
- Backpropagation
- How to Make ANN Models in TensorFlow and PyTorch
- Training and Testing the Model
- Neural Networks with Convolution
- Project for Classifying Images
- Basic Ideas in Natural Language Processing
- Preprocessing Text
- Sentiment Analysis Initiative
- Basic Steps for Deploying a Model
- Model APIs with Flask or FastAPI
- What is Docker?
- Monitoring the Model
- AI Ethics and AI That Is Responsible
- AI Project presentation
- From Business Problem to Deployment
- Testing and optimizing models
- Questions for a Mock Interview
- Building a resume and portfolio
Individuals working in IT, software engineering, data analysis, and development are the ideal candidates for AI Engineer training.
Yes, it is a beneficial idea to learn some Python.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Absolutely! The course includes hands-on exercises, case studies and a capstone project in the end.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
The class utilizes basic deployment tools such as Python, TensorFlow, PyTorch, NumPy, and Pandas.
Yes, basics of ANN, CNN and NLP are included.
Yes, it includes Docker basics and deployment using APIs.
- AI Engineer
- Engineer for Machine Learning
- Data Scientist
- Engineer in NLP
- Engineer of Computer Vision
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
AI Engineer: Creating and deploying AI systems and models to address practical issues.
Machine Learning Engineer: Machine learning engineers are responsible for creating and incorporating machine learning algorithms into operational settings.
Data Scientist: Using AI to develop predictive models and analyze data.
AI Research Scientist: Researching AI techniques and technologies is the responsibility of an AI research scientist.
AI Consultant: Giving businesses advice on how to use AI to improve operations.
As AI becomes more widely used in sectors like healthcare, finance, technology, and manufacturing, workers in this area may expect to earn competitive pay and long-term career advancement in both the USA and Canada.
