Artificial Intelligence and Machine Learning in Practice Course

Have you ever been astounded by the intelligence of the machines around you and wondered how they pick up certain skills? Have you considered how AI and machine learning can completely change a variety of industries, including finance and healthcare? Welcome to Trainingcred, where we build the future instead of just imagining it, with our "Artificial Intelligence and Machine Learning in Practice" training course. Are you prepared to explore the exciting fields of artificial intelligence (AI) and machine learning, which have the potential to completely transform the way we work, think, and solve problems?

Artificial Intelligence and Machine Learning in Practice

Duration: 10 Days

Level: Foundation To Intermediate

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Venue Location Duration Language
Nairobi, Kenya 10 Days English Dates & Prices
Mombasa, Kenya 10 Days English Dates & Prices
Kisumu, Kenya 10 Days English Dates & Prices
Naivasha, Kenya 10 Days English Dates & Prices
Nakuru, Kenya 10 Days English Dates & Prices
Kigali, Rwanda 10 Days English Dates & Prices
Code Start Date End Date Fee
AI-ML Filling Fast Aug 26, 2024 Sep 06, 2024 USD. 1360 Register Individual Register Group
AI-ML Sep 23, 2024 Oct 04, 2024 USD. 1360 Register Individual Register Group
AI-ML Oct 14, 2024 Oct 25, 2024 USD. 1360 Register Individual Register Group
AI-ML Nov 18, 2024 Nov 29, 2024 USD. 1360 Register Individual Register Group
AI-ML Dec 23, 2024 Jan 03, 2025 USD. 1360 Register Individual Register Group

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Transform Your Workforce

Learn emerging skills quickly with custom curriculum designed as per your needs.

Why top organizations prefer Trainingcred

  • High engagement and outcome-centric learning
  • Customized curriculum built with industry leaders, for industry leaders
  • Hands-on exercises and industry use cases
  • Strong reporting to track learning and calculate training ROI for managers
  • Day 1 production ready on the completion of the training

Programs delivered as per your training needs

On Premises
Virtual Instructor-Led
Self-Paced
Blended

About the Training Course

This course provides a comprehensive exploration of artificial intelligence (AI) and machine learning (ML), tailored for professionals seeking practical knowledge and skills. Participants will learn how to use AI and ML technologies to address real-world problems through an immersive learning environment. This course is your ticket to becoming a skilled practitioner in the AI and ML domains, covering basic theories, algorithmic approaches, and the most recent developments.

The goal of this course is to give delegates practical experience using ML and AI techniques to solve challenging problems. The complete lifecycle of AI and ML projects, from data preprocessing to model deployment, will be covered by means of a blend of theory, case studies, and hands-on exercises. You will learn how to assess model performance, acquire understanding of various algorithms, and identify best practices for incorporating AI and ML into current systems.


Target Audience

The training is perfect for:

  • IT professionals looking to specialize in AI and machine learning.
  • Data scientists and analysts interested in enhancing their analytical capabilities with AI and ML.
  • Business leaders and managers aiming to leverage AI and ML for strategic advantage.
  • Developers and engineers seeking to integrate AI and ML into their projects.

Course Objectives

By the end of the training, participants will:

  • Gain a solid understanding of AI and ML concepts and applications.
  • Learn to design, implement, and manage AI and ML projects.
  • Master the use of popular AI and ML tools and frameworks.
  • Develop skills to analyze and interpret data using machine learning algorithms.
  • Understand the ethical considerations and societal impacts of AI and ML technologies.

Organizational and Professional Benefits

Professional Benefits

  • Enhanced expertise in AI and ML, opening new career opportunities.
  • Ability to lead and contribute to AI and ML projects, boosting professional value.
  • Improved problem-solving skills through the application of AI and ML solutions.

Organizational Benefits

  • Increased innovation and competitive edge through the adoption of AI and ML technologies.
  • Improved efficiency and decision-making capabilities powered by AI and ML insights.
  • Enhanced ability to predict trends and make informed strategic decisions.

Training Methodology

The training methodology combines:

  • Engaging lectures to build a strong theoretical foundation.
  • Hands-on workshops and labs for practical experience with AI and ML tools.
  • Real-world case studies to understand the application of AI and ML across industries.
  • Group discussions and projects to foster collaborative learning and problem-solving.

Upcoming Sessions in International Locations

Virtual - Global

USD. 1360

26th Aug-6th Sep 2024

Naivasha - Kenya

USD. 2200

19th Aug-30th Aug 2024

Mombasa - Kenya

USD. 2486

19th Aug-30th Aug 2024

Nairobi - Kenya

USD. 2400

26th Aug-6th Sep 2024

Kisumu - Kenya

USD. 2200

26th Aug-6th Sep 2024

Kigali - Rwanda

USD. 3600

26th Aug-6th Sep 2024

Nakuru - Kenya

USD. 2200

26th Aug-6th Sep 2024


Certification: Your Badge of Honor!

Upon successful completion of our Artificial Intelligence and Machine Learning in Practice Course, you won't just walk away with newfound knowledge – you'll also snag a Trainingcred Certificate! This isn't just any piece of paper; it's your golden ticket, showcasing your expertise and dedication in Computing and Information Technology.


Tailor-Made Course: Like a Suit, But for Your Brain!

Imagine Artificial Intelligence and Machine Learning in Practice Course that fits your team's needs as perfectly as a tailor-made suit! That's what we offer with our bespoke training solution. We don't believe in one-size-fits-all; instead, we're all about crafting a learning experience that's as unique as your organization.

How do we do it? By diving deep with a Training Needs Assessment, we uncover the hidden gems – the skills your team already rocks at, the knowledge gaps we need to bridge, and the ambitions soaring in their minds. It's not just training; it's a transformation journey, meticulously designed just for you and your team. Let's make learning personal.

Frequently Asked Questions

No worries at all. We all find ourselves with questions now and then.

What is artificial intelligence (AI)?

Artificial intelligence is the term used to describe the imitation of human intelligence in machines that are designed to think and perform human functions like decision-making, learning, and problem-solving.

What is machine learning (ML)?

Machine learning is a subset of AI that enables systems to learn from data and improve performance without being explicitly programmed. Its main goal is to create algorithms that are able to learn from data and make inferences or predictions from it.

How are artificial intelligence and machine learning used in practice?

Artificial intelligence can help manufacturing leaders automate their business processes by applying data analytics and machine learning to applications such as the following; Identifying equipment errors before malfunctions occur using the internet of the things (IoT), analytics, and machine learning.

What`s the difference between AI and ML?

AI includes everything from smart assistance like Alexa to robotic vacuum cleaners and self-driving cars. Machine learning (ML) is one among many other branches of AI. ML is the science of developing algorithms and statistical models that computer system use to perform complex tasks without explicit instructions.

What are the challenges of implementing machine learning in real-world applications?

Acquiring labeled data for training, handling problems with data quality and preprocessing, choosing the appropriate model and adjusting hyperparameters, comprehending the interpretability of intricate models (like deep learning), and implementing and maintaining models in real-world settings are some of the challenges.

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