Master AI & Machine Learning: Hands-On Training

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DURATION

45 hours

WEEKLY

4-6 hours per week

MODE OF STUDY

Online & Offline

Integrated with Generative AI

Programme Overview

Equip yourself with in-demand, practical skills in AI and machine learning through this immersive, hands-on course. Designed for professionals and enthusiasts alike, this comprehensive program provides a step-by-step approach to building AI models, mastering generative AI, and applying the latest techniques in a dynamic learning environment. With over 10 essential tools covered, from Python libraries to deep learning frameworks, this course ensures you gain the technical expertise and practical experience needed in the industry.

The curriculum includes a real-world capstone project, offering the chance to work with real data and solve complex challenges, making your learning experience truly practical and career-ready. Upon completion, you’ll earn multiple certifications, including an Acamind Academy Certificate and KHDA Certification, validating your skills and enhancing your professional credibility. With 100% practical training, you’ll leave the course equipped and confident to excel in today’s AI-driven world.

Whether you’re a seasoned marketer or a passionate beginner, this program will elevate your digital marketing prowess and give you a competitive edge in the industry.

Course Highlight: Master AI & Machine Learning

AI and Machine Learning

Python for Data Science

Data Pre-processing

Artificial Neural Network

Advanced Deep Learning

Generative AI

Meet Your Trainer

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Who Can Attend the Programme?

Data Scientists & Analysts

Professionals looking to enhance their expertise in AI/ML for data analysis.

Software Developers

Developers eager to integrate AI and machine learning into their applications.

IT & Tech Managers

Managers aiming to understand AI/ML to guide tech teams and projects.

AI & ML Enthusiasts

Individuals passionate about AI/ML and looking to gain hands-on experience.

Whether you’re new to AI or want to deepen your expertise, this course provides the tools to excel.

Key Features of the Program

What You'll Learn

Lead the Future: Mastering Leadership with AI

AI & ML Fundamentals
Understand AI concepts, types of learning, and key tools.

Python for Data Science
Gain data manipulation skills using Python’s top libraries, NumPy and Pandas.

Data Visualization
Master data insights with Matplotlib and Seaborn.

Data Preprocessing
Perfect data cleaning, feature engineering, and scaling.

Machine Learning Models
Build and assess models for regression and classification.

Neural Networks
Create and train models with TensorFlow/Keras.

Advanced Deep Learning
Dive into CNNs for images, RNNs for sequences.

Generative AI
Gain hands-on experience with GANs, Transformers, and prompt engineering.

Why Choose This AI-Powered Digital Marketing Course?

Harness the Power of Artificial Intelligence and Lead with Confidence in the Digital Era
Note: All activities and research resources for ISB Executive Education alumni are handled by ISB Executive Education. Whenever there are any events or webinars held, they will be informing the alumni community of the same. Events take place yearly basis availability of resources & is subject to change.

Why Acamind Academy?

#1

Premier Education Hub

#31

Trusted by professionals across industries

#5

Expert Instructors

Case Studies

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Testimonials

Industry Relevant Generative AI and ML Tools Covered

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Course Modules

Session 1: Introduction to Artificial Intelligence – Definition, history, and current applications.

Session 2: Overview of Machine Learning – Categories of ML (supervised, unsupervised, reinforcement learning).

Session 3: Tools and Software for Machine Learning – Python, R, No Code AI tools

Session 1: Python Basics – Syntax, control structures, functions, and data structures.

Session 2: Python Libraries – Introduction to NumPy and Pandas for data manipulation.

Session 3: Data Visualization – Basics of Matplotlib and Seaborn for data insights.

Session 1: Data Cleaning – Handling missing data, outliers, and errors.

Session 2: Feature Engineering – Techniques for attribute generation, selection, and dimensionality reduction.

Session 3: Data Scaling and Normalization.

Session 1: Linear Regression – Concepts, mathematics, and implementation.

Session 2: k-Nearest Neighbors (k-NN) for Regression algorithm

Session 3: Model Evaluation – R², MSE, confusion matrix.

Session 1: Decision Trees and Random Forests.

Session 2: Logistic Regression

Session 3: k-Nearest Neighbors (k-NN)

Session 1: Confusion Matrix

Session 2: Advanced evaluation metrics (AUC-ROC, Threshold).

Session 3: Model selection techniques and hyperparameter tuning.

Session 1: Neural Networks – Basics, architecture, activation functions.

Session 2: Implementing a simple neural network in TensorFlow/Keras.

Session 3: Understanding overfitting, underfitting, and regularization techniques.

Session 1: Convolutional Neural Networks (CNNs) for image processing.

Session 2: Recurrent Neural Networks (RNNs) for sequence data.

Session 3: Practical applications of CNNs and RNNs.

Session 1: Gen AI Concept and algorithms (Transformer, GAN)

Session 2: ChatGPT Overview

Session 3: Prompt Engineering

Session 4: Practical Demos for different tasks to generate (Text, Image, movie, voice) etc.

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Generative AI Modules

AI AND ML: AN OVERVIEW

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Get Certified and Take Your Career to the Next Level

Upon course completion, you will receive:

  1. Acamind Academy Certification
  2. KHDA Certifications

Key Programme Takeaways

Harness the Power of Artificial Intelligence and Lead with Confidence in the Digital Era

Key Features of the Course

Note:

  • This programme is not for technology professionals and engineers who want to learn and develop technology solutions or get the technical background behind AI/ML based on coding to cater to organisational needs. The programme is suitable for mid-senior level leaders who want to understand how to build AI/ML businesses or incorporate AI/ML strategically into their projects.
  • No prior coding knowledge is required for this programme.

Our Participants work at

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Join the AI-Driven Revolution

Our talented and dedicated teachers are here to support and encourage you throughout your learning journey. We believe it is our responsibility to inspire enthusiasm for learning and to help our students succeed in their pursuits. Situated in the vibrant heart of Dubai’s Al Karama, just steps from ADCB Metro Station, Acamind Academy stands as a premier destination for exceptional educational support and professional development. Join us at Acamind and take the first step toward your dreams. Let’s achieve success together!

Student Loan Available

Below EMI plans are available for the Programme Fee: INR 1,90,000 + GST

Maximum Loan AmountTenure (Months)EMI
INR 2,24,2001220458
INR 2,24,2001814230
INR 2,24,2002411117
INR 2,24,200368003
INR 2,24,200486446

Notes:

  • The above EMIs are indicative. The EMIs offered might vary from the above figures, depending upon tenure and loan amount to be disbursed.

  • Other EMI tenures available (Months):

Propelld: 12/18/24/30/36

FAQs

What is the focus of this course?

This course covers AI & ML fundamentals, Python programming, data visualization, machine learning models, neural networks, deep learning, and generative AI, providing hands-on experience with real-world datasets.

No, it is chargeable of AED 150 and rest other certifications are full free.

Yes, it’s designed for beginners to intermediate learners. You’ll start with Python basics and progress to advanced AI techniques, all with hands-on practice.

Acamind Academy offers expert-led, practical training in AI & ML, with a focus on real-world applications and personalized support to help you build the skills that matter.

The course spans 12 days (45 hours) and combines theory with practical, hands-on projects. You’ll learn through interactive sessions and apply concepts in real-world scenarios.

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