Course details
OverviewArtificial 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.
Objective
- Solve business problems with AI and ML
- Prepare and process data for ML
- Train, evaluate, and tune ML models
- Build and deploy various ML models (regression, classification, clustering, neural networks)
- Operate and maintain ML models in production
Who Should Attend
This course is suitable for anyone 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
Outlines
Day 1: Solving Business Problems Using AI and ML including Preparing Data, Training, Evaluating, and Tuning a Machine Learning Model
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning
- Collect DataTransform DataEngineer Features
- Work with Unstructured Data
- Train a Machine Learning Model
- Evaluate and Tune a Machine Learning Model
Day 2: Building Linear Regression Models including, Building Forecasting Models
- Build Regression Models Using Linear Algebra
- Build Regularized Linear Regression Models
- Build Iterative Linear Regression Models
- Build Univariate Time Series Models
- Build Multivariate Time Series Models
Day 3: Building Classification Models Using Logistic Regression and k-Nearest Neighbor, including Building Clustering Models
- Train Binary Classification Models Using Logistic Regression
- Train Binary Classification Models Using k-Nearest Neighbor
- Train Multi-Class Classification Models
- Evaluate Classification ModelsTune Classification Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Models
Day 4: Building Decision Trees and Random Forests including Building Support-Vector Machines
- Build Decision Tree ModelsBuild Random Forest Models
- Build SVM Models for ClassificationBuild SVM Models for Regression
Day 5: Building Artificial Neural Networks including Operationalizing Machine Learning Models, Maintaining Machine Learning Operations
- Build Multi-Layer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
- Build Recurrent Neural Networks (RNN)
- Deploy Machine Learning Models
- Automate the Machine Learning Process with MLOps
- Integrate Models into Machine Learning Systems
- Secure Machine Learning Pipelines
- Maintain Models in Production
Job roles this course is suitable for:
IT professional , Project professional , Business professionalsAbout AiinoX
AiinoX is a leading provider of AI training solutions, offering a comprehensive curriculum designed to cater to a wide range of learners. Our mission is to bridge the AI skills gap by providing accessible, high-quality training that empowers individuals and businesses to:- Understand the core concepts of AI and its applications.
- Develop practical skills in using AI tools and technologies.
- Implement AI solutions to solve real-world business problems.
- Gain a competitive edge in the AI-driven marketplace.
We are committed to delivering exceptional learning experiences through:
- Expert-Led Instruction: Our team of experienced and passionate instructors comes from diverse AI backgrounds, ensuring you receive the latest knowledge and industry insights.
- Interactive Learning: We go beyond theory, incorporating practical exercises, case studies and hands-on learning activities to solidify your understanding.
- Flexible Learning Options: We offer a variety of learning formats, including in-person, online and blended learning, to suit your individual learning style and schedule.
AiinoX offers a comprehensive range of AI training courses designed to cater to all levels of expertise. Whether you are new to AI or a seasoned professional, we have a programme to help you achieve your learning goals.
Headquartered in London and Amsterdam, AiinoX is committed to shaping the future of AI through practical and quality education.
Business Consultation Service
At AiinoX, we provide comprehensive consultation services designed to help your company excel in a competitive market. Whether you are a startup aiming to build a solid foundation or an established enterprise seeking to optimise performance, we are here to assist you.
Our offerings include:
- Strategic Advice: Collaborating with you to map out a path to success, utilising AI and other critical strategies.
- Customised Solutions: Crafting tailored approaches to address your unique challenges and objectives.
- Ongoing Support: Providing continuous support to ensure successful implementation and sustained success.
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