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course | AI Foundations for Technical Professionals

Join the AI Foundations ... course taught in English – Artificial Intelligence (AI) is transforming industries, and technical professionals need a strong foundation to harness…

SMCS-3268 | AI Foundations for Technical Professionals

Course Sector : Sales, Marketing and Customer Service

Course dates

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Duration	Date from	Date to	Course Venue	Course fees	Book a course
5 Days	18/10/2026	22/10/2026	Online	$2,150	Book now
5 Days	05/04/2027	09/04/2027	Dubai	$4,250	Book now
5 Days	09/05/2027	13/05/2027	Riyadh	$4,250	Book now
5 Days	09/08/2027	13/08/2027	Istanbul	$4,950	Book now

Course Introduction

Artificial Intelligence (AI) is transforming industries, and technical professionals need a strong foundation to harness its potential. This program introduces participants to the fundamental concepts, technologies, and techniques of AI. It emphasizes understanding AI principles, algorithms, and applications, enabling participants to build a solid base for future AI development projects.

Training Course Methodology

The training course is designed to be interactive and participatory, and includes various learning tools to enable the participants to operate effectively and efficiently in a multifunctional environment. The course will use lectures and presentations, exercises, experiential and exposure to real world problems and policy choices confronting delegates.

Course objective

Understand core AI concepts, terminology, and applications.
Recognize the difference between AI, machine learning, and deep learning.
Apply basic AI algorithms for problem-solving.
Identify use cases for AI in business and technology.
Understand ethical considerations and best practices in AI deployment.

Course audience

Business Analysts & Consultants
Technical Business Analysts
IT Consultants
Technology Consultants

Course Outline | DAY 01

Introduction to Artificial Intelligence

History and evolution of AI
Key AI concepts and terminology
Overview of AI applications across industries
Understanding AI vs Machine Learning vs Deep Learning
Ethical considerations in AI

Course Outline | Day 02

Data Fundamentals for AI

Importance of data quality and preparation
Introduction to datasets and data structures
Basics of data pre-processing and cleaning
Understanding features and labels
Introduction to data visualization for AI

Course Outline | Day 03

AI Algorithms Basics

Supervised vs unsupervised learning
Introduction to regression and classification
Overview of clustering and association techniques
Simple neural network concepts
Choosing the right AI technique for a problem

Course Outline | Day 04

AI Tools and Platforms

Overview of popular AI frameworks (e.g., Python, TensorFlow, scikit-learn)
Setting up basic AI environments
Hands-on example: building a simple model
Model evaluation metrics basics
Common pitfalls in AI implementation

Course Outline | Day 05

AI in Practice

Identifying AI opportunities in real-world scenarios
Case studies of foundational AI applications
Introduction to AI project workflow
Understanding limitations and risks
Planning next steps for AI skill development

Course Certificates

BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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The best AI training depends on your career goals, but leading options include courses covering Python, machine learning, deep learning, generative AI, MLOps, cloud AI (AWS, Azure, Google Cloud), and AI ethics. Certifications from Microsoft, Google, AWS, IBM, and NVIDIA are widely recognized.

Some senior AI roles at top technology companies or well-funded startups—such as AI Research Scientist, Principal AI Engineer, Machine Learning Director, or Head of AI can have total compensation approaching or exceeding $900,000. This usually includes base salary, bonuses, and stock compensation, rather than salary alone.

There is no universally accepted framework called the "7 C's of AI." Different organizations use different models. A commonly referenced set includes Computation, Connectivity, Cognition, Context, Creativity, Collaboration, and Compliance, but this is not an industry standard.

While AI will change many roles, jobs that rely heavily on human judgment, creativity, and interpersonal skills are expected to remain in demand. Examples include:Healthcare professionals (e.g., physicians and nurses).Skilled trades (e.g., electricians and plumbers).Leadership and strategy roles (e.g., executives, business consultants, and managers who make complex decisions and lead teams).

Open Training Calendar

Since 2001, we’ve been at the forefront of professional training in the Middle East — shaping the future of learning and development one success story at a time. With a vision rooted in innovation and excellence, we help individuals, teams, and organizations reach their highest potential through integrated, future-ready training solutions. Our comprehensive programs combine global best practices with local insights, empowering people to grow, lead, and make a lasting impact in their industries.

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