TRAINING COURSE
Advanced Algorithms and AI
in Marketing and Merchandising
STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎9 000 €
For those who want to apply AI in marketing and merchandising, seeking to deepen their knowledge of modern algorithms and AI applied in effective marketing and assortment organization. In this program, you will learn the key concepts and tools of AI, put them into practice and make marketing strategies smarter, more efficient and competitive.
Effective Application of Advanced Algorithms in Marketing
Mastery of AI Methods for Assortment Optimization
Skills in Applying AI in Strategic Marketing Analysis
Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Introduction to AI in Marketing
  • Introduction to AI in marketing and merchandising
  • Definition and fundamental principles of AI
  • The role of AI in contemporary marketing and merchandising strategies
  • Historical overview and evolution of AI in marketing and merchandising
Lecture 2:
Unlocking Marketing Potential: A Machine Learning Journey
  • Machine Learning (ML) in marketing
  • Basics of ML and its application in data analysis
  • Classification and regression methods in marketing
  • Examples of successful ML projects in marketing
Lecture 3:
Deep Dive into Intelligence: Unraveling Neural Networks in Marketing
  • Deep learning and Neural Networks (NNs)
  • Fundamentals of deep learning and NNs
  • Application of NNs in image and text analysis in marketing and merchandising
  • Modern architectures of NNs
Lecture 4:
Unlocking Insights: Text Data Analysis and NLP in Marketing
  • Text data analysis and natural language processing
  • Basics of text data processing using AI
  • Sentiment analysis and mood analysis in social media
  • Practical examples of text data analysis in marketing
Lecture 5:
Personalization in Practice
  • Recommender systems and personalization
  • Principles of recommender systems
  • Application of recommender systems in e-commerce and merchandising
  • Successful personalization case studies
Lecture 6:
Optimizing Campaigns and Budgets
  • Forecasting and optimization in marketing
  • Demand forecasting using time series and AI
  • Marketing campaign optimization and budgeting
  • Analysis of results and change management based on forecasts
Lecture 7:
Visual Commerce Mastery: AI-Powered Merchandising Insights
  • Image and video analysis in merchandising
  • The role of AI in image and video analysis to enhance merchandising decisions
  • Object detection and image segmentation
  • Case studies of image analysis in retail
Lecture 8:
Guardians of Integrity: Ethics and Security in AI for Marketing
  • Ethics and security in AI application in marketing and merchandising
  • Ethical issues and challenges in the field of AI
  • Data protection and confidentiality in marketing and merchandising
  • Compliance with regulatory requirements and legislation
Practical Session 1:
Foundations of Machine Learning with Python
  • Data preparation and working with Python libraries for ML
  • Data loading and preprocessing for analysis
  • Familiarization with Python libraries such as NumPy and Pandas for data manipulation
  • Creating basic ML models for data analysis
Practical Session 2:
Deep Learning with Neural Networks
  • Creating and training NNs using deep learning frameworks
  • Introduction to deep learning frameworks such as TensorFlow or PyTorch
  • Creating and training NNs for various tasks, including classification
  • Hyperparameter tuning of models to improve performance
Practical Session 3:
Text Analysis & Recommender Systems
  • Text data analysis and building a recommender system
  • Text data processing and converting it into a numerical format
  • Developing a recommender system using collaborative filtering or content analysis methods
  • Evaluating the recommender system's performance and tuning parameters
Practical Session 4:
Image and Video Analysis in Merchandising
  • Applying algorithms for image and video analysis in merchandising
  • Working with libraries for image analysis, such as OpenCV and TensorFlow
  • Training models for object detection on merchandising images
  • Analyzing and processing video data to optimize merchandising decisions
What kind of result will you get
Participants in the course will gain a deep understanding of AI in business and practical skills for implementing AI, enabling them to confidently apply modern technologies in real-world business scenarios. The course will equip participants with the skills to work with textual and visual data, as well as the creation and training of ML models to address specific business challenges.
Student feedback on the course
The blend of theory and hands-on experience was perfect! The practical applications in real business scenarios made the learning process enjoyable and valuable.
Elena Müller
Great course! It provided a clear and comprehensive understanding of AI in business. The practical exercises were particularly helpful, allowing me to apply the knowledge directly.
Alexander Bergmann
This course was an enlightening experience. The well-structured content and engaging lectures made complex concepts easy to grasp. The practical sessions were a game-changer for my professional development.
Maria Andersson
I appreciated the course's ability to simplify intricate concepts. The practical sessions were instrumental in reinforcing my learning and applying AI techniques in my field.
Anton Rūpnieks
A fantastic course for anyone looking to delve into the realm of artificial intelligence. The instructors were approachable, and the course materials proved to be extremely beneficial for my career growth.
Uldis Sprogis
What you will get after the course
  1. In-depth understanding of data analysis techniques using AI
  2. Practical skills in creating personalized recommendations using AI algorithms
  3. Skills in optimizing visual elements in merchandising: Using OpenCV and TensorFlow image analysis libraries
  4. Ability to predict trends and consumer behavior: Using AI, you will be able to analyze data and predict trends, increasing adaptability to changes in the market
  5. Master the effective application of ML in marketing
Official school certificate
Recordings of all lectures
10% discount on any of our courses
Price without discount 10 000 €
9 000 €
Course fees
If you register early (over a month prior to the beginning of the course), you will receive a 10% discount on the entire program.
Register for the course and get 10% off!
Fill out the form and we'll send you a confirmation email.
"Cosmopolitacademy" LLC
264.110.1320023
TIN: 08256519
Komitas 19/1, Erevan, Armenia