AI and Big Data Strategies

🌟 Get Ready for the Future of Technology!
Our AI and Big Data Strategies courses are designed for both beginners and professionals. Explore the latest technologies through hands-on content guided by industry experts, with flexible learning and an accredited certification to advance your career. Join us today and be part of the technological revolution shaping tomorrow.

  • 6500 GBP$ 1 month
  • Instructor

City
Duration
Year
Venue Start Date End Date Net Fees Details & Registration
Rome June 23, 2025 June 27, 2025 6500 GBP PDF Register

About corse

This seven-day professional training course focuses on the transformative role of artificial intelligence (AI) and big data in today’s digital world. As organizations increasingly leverage these technologies to improve decision-making, operational efficiency, and innovation, the course aims to equip participants with a comprehensive understanding of AI and big data strategies. Attendees will explore foundational concepts, practical applications, and strategic frameworks, preparing them to implement effective solutions within their organizations. The curriculum covers key topics such as data management, machine learning algorithms, predictive analytics, and ethical considerations in data usage. Participants will engage with industry experts through case studies and hands-on exercises, gaining real-world experience. By the end of the course, attendees will possess the skills and insights needed to develop and execute robust AI and big data strategies aligned with organizational goals, empowering them to navigate the complexities of these advanced technologies and drive impactful innovation.

The Objectives

  • To understand the core principles of AI and big data.
  • To explore the integration of AI technologies in big data analytics.
  • To develop skills in data management and predictive modeling.
  • To examine ethical considerations related to AI and data usage.
  • To apply AI and big data strategies in real-world scenarios.
  • To foster a strategic mindset for implementing AI-driven solutions.

Training Methodology

The course employs a blend of lectures, interactive discussions, group activities, and hands-on projects to facilitate learning. Participants will engage in collaborative problem-solving, case study analyses, and practical exercises designed to reinforce key concepts. This approach ensures a comprehensive understanding of the material and encourages the application of knowledge in real-world settings.

WHO SHOULD ATTEND

This course is ideal for professionals across various sectors, including data scientists, business analysts, IT managers, and executives involved in strategic planning. Individuals seeking to enhance their understanding of AI and big data, as well as those responsible for implementing data-driven initiatives, will benefit significantly from this training.

Course Outlines

Day 1: Introduction to AI and Big Data
  • Overview of AI and big data concepts
  • Historical context and evolution of technologies
  • Importance of data in decision-making
  • Key terminologies and definitions
  • Introduction to data types and sources
  • Case studies showcasing successful implementations
Day 2: Data Management Strategies
  • Fundamentals of data collection and storage
  • Data cleaning and preprocessing techniques
  • Understanding data governance and quality
  • Tools and technologies for data management
  • Best practices for data integration
  • Hands-on workshop: Data preparation exercises
Day 3: Machine Learning Fundamentals
  • Introduction to machine learning concepts
  • Types of machine learning: supervised vs. unsupervised
  • Algorithms and models overview
  • Feature selection and engineering techniques
  • Evaluating model performance
  • Practical session: Building a simple model
Day 4: Advanced Analytics and Predictive Modeling
  • Understanding predictive analytics and its applications
  • Techniques for forecasting and trend analysis
  • Introduction to deep learning
  • Tools for advanced analytics
  • Case studies of predictive analytics in action
  • Group activity: Developing a predictive model

Training Method?

  • Pre-assessment
  • Live group instruction
  • Use of real-world examples, case studies and exercises
  • Interactive participation and discussion
  • Power point presentation, LCD and flip chart
  • Group activities and tests
  • Each participant receives a copy of the presentation
  • Slides and handouts

Training Method?

The course agenda will be as follows:

  • Technical Session 30-10.00 am
  • Coffee Break 00-10.15 am
  • Technical Session 15-12.15 noon
  • Coffee Break 15-12.45 pm
  • Technical Session 45-02.30 pm
  • Course Ends 30 pm
   

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