Whether delivered online or onsite, our instructor-led live Predictive Analytics courses provide hands-on practice in utilizing various tools to construct predictive models. You will learn to apply these models to extensive sample datasets to forecast future events based on empirical data.
Predictive Analytics training is offered as either “online live training” or “onsite live training.” Online live training (also known as “remote live training”) is conducted through an interactive remote desktop. Onsite live training can be performed locally at customer premises in Bangkok or at NobleProg corporate training centers in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This live, instructor-led session in Bangkok (conducted online or onsite) is tailored for intermediate developers aiming to construct AI-enabled applications using predictive analytics and generative models.
By the conclusion of this program, participants will be capable of:
Comprehending the essentials of predictive AI and generative frameworks.
Employing AI tools for predictive coding, forecasting, and automation tasks.
Deploying LLMs (Large Language Models) and transformers for generating text and code.
Applying time-series forecasting techniques and AI-based recommendation engines.
Developing and refining AI models for practical application.
Evaluating ethical dimensions and best practices in AI implementation.
Targeting intermediate data professionals, this live, instructor-led training in Bangkok (online or onsite) equips participants to apply machine learning techniques to data-driven business issues, such as sales forecasting and predictive modeling with neural networks.
By the end of the session, attendees will be equipped to:
Comprehend the core principles and varieties of machine learning.
Implement primary algorithms for classification, regression, clustering, and association analysis.
Execute exploratory data analysis and data preparation in Python.
Utilize neural networks for nonlinear modeling tasks.
Apply predictive analytics for business forecasting, including sales data analysis.
Assess and optimize model performance using visual and statistical tools.
This live, instructor-led training covers Bangkok (available online or onsite) and is specifically designed for entry-level IT professionals aiming to master the fundamentals of Predictive AI.
By the end of the session, participants will be capable of:
Comprehending key Predictive AI concepts and their industry applications.
Executing data collection, cleaning, and preprocessing tasks for predictive workflows.
Using data exploration and visualization techniques to uncover meaningful patterns.
Developing basic statistical models to generate predictions.
Assessing the effectiveness and performance of various predictive models.
Translating Predictive AI concepts into practical, real-world solutions.
This live, instructor-led training offered in Bangkok (either online or onsite) targets intermediate-level DevOps professionals who are eager to adopt predictive AI within their DevOps workflows.
By the conclusion of this session, participants will be able to:
Deploy predictive analytics models to foresee and resolve pipeline challenges.
Utilize AI-driven tools to strengthen monitoring and operational capabilities.
Apply machine learning techniques to optimize software delivery workflows.
Formulate AI strategies for proactive issue resolution and system optimization.
Navigate the ethical dimensions of AI integration in DevOps.
In this instructor-led, live training delivered in Bangkok, participants will cultivate the mindset necessary to approach Big Data technologies effectively. The focus is on assessing their impact on existing workflows and policies, and implementing them to identify and prevent criminal activity. Through an examination of case studies from law enforcement agencies worldwide, attendees will gain valuable insights into adoption strategies, operational challenges, and outcomes.
By the conclusion of this program, participants will be capable of:
Synthesizing Big Data insights with traditional data gathering techniques to build investigative narratives.
Implementing industrial-scale big data storage and processing frameworks for analytics.
Drafting proposals for the adoption of optimal tools and processes to support data-driven criminal investigation strategies.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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