Corporate Machine Learning with Scala Training Course

Name: Machine Learning with Scala Training
Availability: InStock

Edstellar’s instructor-led Machine Learning with Scala training course is designed to equip professionals with the advanced skills needed to implement machine learning algorithms and techniques using Scala. Upskill professionals to learn how to leverage Scala's functional programming features to build predictive models.

Duration

32 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Machine Learning with Scala Corporate Training

Machine Learning with Scala refers to applying machine learning algorithms and techniques using the Scala programming language. This integration is essential for teams that leverage scalable and efficient solutions for data analysis, prediction, and decision-making processes. Training generally emphasizes hands-on learning and practical application of machine learning algorithms in Scala.

Edstellar's Machine Learning with Scala training distinguishes itself through its comprehensive approach to virtual/onsite learning options. With Instructor-led training sessions, professionals benefit from personalized guidance and expert instruction, ensuring a deeper understanding of complex concepts. Additionally, the course offers customization to align with specific organizational objectives, enabling tailored learning experiences.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Scalable ML Models
Scalable ML Models are algorithms designed to efficiently handle increasing data volumes. This skill is important for data scientists and ML engineers to ensure robust performance and adaptability in real-world applications.
Distributed Algorithms
Distributed Algorithms are protocols that enable multiple computing nodes to collaborate on problem-solving. This skill is important for roles in distributed systems, cloud computing, and network design, ensuring efficient resource management and fault tolerance.
Functional Programming
Functional Programming is a programming paradigm that treats computation as the evaluation of mathematical functions. This skill is important for software developers as it enhances code reliability, maintainability, and facilitates parallel processing.
Integration with Production
Integration With Production involves aligning various processes and systems to ensure seamless workflow and efficiency. This skill is important for roles in manufacturing and operations management, as it enhances productivity and reduces downtime.
Advanced ML Techniques
Advanced ML Techniques involve sophisticated algorithms and models that enhance data analysis and prediction accuracy. This skill is important for data scientists and AI engineers to drive innovation and solve complex problems effectively.
Scala Frameworks Integration
Scala Frameworks Integration involves combining various scala frameworks to build scalable applications. this skill is important for software developers, as it enhances efficiency and performance.

What Your Team Will Achieve After This Training

Develop scalable and efficient machine learning models using Apache Spark and Scala, enabling real-time analytics and processing of large-scale datasets
Implement distributed machine learning algorithms for predictive modeling, recommendation systems, and anomaly detection, enhancing operational efficiency and decision-making capabilities
Leverage Scala's functional programming paradigm to build robust and maintainable machine learning pipelines, facilitating code reusability and collaboration among team members
Integrate machine learning models with production systems and web applications, enabling organizations to deploy intelligent solutions for personalized recommendations, fraud detection, and customer segmentation
Apply advanced machine learning techniques such as deep learning and reinforcement learning with Scala frameworks like Deeplearning4j, TensorFrames, and MLib, empowering teams to tackle complex problems and drive innovation in various domains

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Scala

Overview of Scala
- History and evolution
- Features and advantages
Setting up Scala environment
- Installing Scala and necessary tools
- Configuring development environment
Basic syntax and data types
- Variables and constants
- Data types and type inference
Control structures
- Conditional statements
- Loops and iteration
Functions and methods
- Defining functions
- Parameters and return types

Exploratory Data Analysis with Scala

Importing data in Scala
- Reading data from files
- Connecting to databases
Data preprocessing
- Handling missing values
- Data cleaning and transformation
Descriptive statistics
- Measures of central tendency
- Measures of dispersion
Data visualization
- Plotting with Scala libraries
- Exploring data patterns
Feature engineering
- Creating new features
- Feature selection techniques

Supervised Learning

Introduction to supervised learning
- Definition and examples
- Types of supervised learning problems
Regression algorithms
- Linear regression
- Polynomial regression
Classification algorithms
- Logistic regression
- Decision trees and random forests
Model evaluation
- Metrics for regression evaluation
- Metrics for classification evaluation
Model tuning
- Hyperparameter optimization
- Cross-validation techniques

Unsupervised Learning

Introduction to unsupervised learning
- Definition and examples
- Types of unsupervised learning algorithms
Clustering algorithms
- K-means clustering
- Hierarchical clustering
Dimensionality reduction techniques
- Principal component analysis (PCA)
- Singular value decomposition (SVD)
Association rule mining
- Apriori algorithm
- FP-Growth algorithm

Neural Networks

Introduction to neural networks
- Basic concepts and terminology
- Types of neural networks
Building neural networks with Scala
- Implementing feedforward neural networks
- Training neural networks with backpropagation
Deep learning frameworks in Scala
- Deeplearning4j
- TensorFrames
Model optimization
- Regularization techniques
- Dropout and batch normalization

Scala Frameworks for Machine Learning

Overview of Scala frameworks
- Popular libraries and frameworks for machine learning
Deeplearning4j
- Features and capabilities
- Building and training models
TensorFrames
- Integration with Apache Spark
- Distributed computing for large-scale ML
Evaluation and comparison of Scala frameworks
- Performance metrics
- Use cases and best practices

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Scientists
Machine Learning Engineers
Scala Developers
Software Engineers
Research Scientists
IT Professionals
Data Engineers
AI Specialists
Technical Architects
Business Intelligence Analysts
ML Managers
Data Science Managers

What are the Prerequisites?

Professionals should have a basic understanding of programming fundamentals, Scala syntax, and concepts, along with a foundational knowledge of statistics and linear algebra to take the Machine Learning with Scala training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Machine Learning with Scala Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Machine Learning with Scala Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Machine Learning with Scala Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Machine Learning with Scala training exceeded my expectations in every way. As a Lead Data Warehouse Engineer, I gained comprehensive knowledge of industry best practices that transformed my approach incredibly practical and immediately applicable. I now handle complex technical scenarios with enhanced confidence and systematic efficiency. The instructor's expertise in expert-led workshops made complex concepts crystal clear and actionable.”

Ashley Hopkins

Lead Data Warehouse Engineer,

AI Solutions Platform Provider

"This Machine Learning with Scala course was precisely what I needed to design robust technical mastery architectures. The hands-on approach to hands-on exercises and seamless integration with interactive labs was multiple organizational projects using advanced techniques from this training. Our client satisfaction scores improved by 35% across all accounts. The comprehensive curriculum has elevated my solution delivery capabilities significantly.”

Eduardo Romero

Senior Machine Learning Engineer,

Predictive Analytics Firm

"As a Lead MLOps Engineer overseeing technical mastery initiatives, the Machine Learning with Scala training significantly elevated our team's capabilities. The course expertly covered practical applications, practical operational effectiveness. Our team delivered record-breaking results in the subsequent quarter, exceeding all targets. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Balakrishnan Iyer

Lead MLOps Engineer,

Cognitive Computing Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Machine Learning with Scala Training Course

Drive Team Excellence with Machine Learning with Scala Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Scala

Exploratory Data Analysis with Scala

Supervised Learning

Unsupervised Learning

Neural Networks

Scala Frameworks for Machine Learning

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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