The Big Data and Artificial Intelligence Emerging Trends and Applications Training Program teaches participants the fundamental principles of big data analysis and emerging trends in AI technologies. This program aims to focus on data-driven decision-making in sectoral applications, data analysis, and AI solution development. Learn how to optimize business processes with AI and big data applications.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
Big Data Fundamentals
- Definition and importance of big data.
- Data collection, storage, and processing processes.
- Understanding data: Structured and unstructured data.
- Big data platforms like Hadoop and Spark.
Artificial Intelligence (AI) Fundamentals
- Definition of artificial intelligence and machine learning.
- Subfields of AI: Deep learning, natural language processing (NLP), computer vision.
- Role of AI algorithms in business.
Big Data Analytics
- Data mining and statistical analysis techniques.
- Data visualization and reporting tools.
- Creating business strategies using big data analytics.
- Real-time data analysis: IoT and sensor data.
AI Solutions Development
- AI modeling and optimization processes.
- Deep learning and machine learning techniques.
- Software and platforms used in AI projects: TensorFlow, Keras, PyTorch.
- Integration of AI algorithms into business processes.
AI and Big Data for Business Innovation
- Advantages of AI-driven automation.
- How insights from big data can be integrated into decision-making processes.
- Example applications: AI and data usage in healthcare, finance, manufacturing, and retail sectors.
- Creating personalized customer experiences with AI.
Big Data Security and Ethics
- Big data security: Protecting data and ensuring data privacy.
- The relationship between AI and data security.
- Ethical AI usage and potential risks.
- Compliance with GDPR and other data security laws.
Future Trends in AI and Big Data
- Future developments in AI and big data.
- Integration of 5G and AI.
- Autonomous vehicles and AI-driven systems.
- How AI will transform dynamics in society and business.
Big Data and AI Application Examples
- Real-world AI and big data solutions.
- AI-powered chatbots and virtual assistants.
- Supply chain optimization with big data.
- Customer segmentation and marketing strategies with AI.
AI and Big Data Project Management
- Project management methodologies in AI and big data projects.
- Creating data-driven business strategies.
- Managing project teams and resources.
Big Data and AI Certifications
- Certified programs in AI and big data: Microsoft, Google, IBM, and more.
- Career opportunities and requirements for big data and AI professionals.
- Certifications and valid business competencies gained upon completion of the training.
The training is open to corporate collaborations, and individual applications are not accepted. The training content can be re-planned based on the corporate participant profile and your specific needs. Following mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the related processes will be completed. If an agreement is reached, the suitable dates and times for your institution's participants and our instructors, as well as the location of the training, will be determined.