Generative AI Specialization Program

Generative AI Specialization Program

Generative AI Specialization Program

Build advanced Generative AI skills through practical applications with guidance from Yiğit Konur, Ozan Ketenci, and Can Mutioğlu. This four-week program helps you deepen your expertise and develop skills you can apply in your career.

Why Choose This Course?

  • In-Depth Learning: Explore Generative AI across a four-week program
  • Practical Approach: Reinforce each week's learning through hands-on projects
  • Current Curriculum: Study recent developments and trends in the field
  • Professional Connections: Connect with experts and other participants
  • Career Development: Strengthen your professional profile with Generative AI expertise

Course Details

  • Training Date: (To be announced)
  • Training Fee: (To be announced)
  • Training Hours: (To be announced)
  • Training Duration: 4 Weeks (Twice a Week, 8 Days in Total)
  • Training Level: Advanced, Comprehensive Training Program
  • Instructors: Yiğit Konur, Ozan Ketenci, Can Mutioğlu
  • Certificate: Included
  • Training Format: Online training. Registered participants will receive the access link by email.

Why Generative AI?

  • It Is Changing Business: Generative AI can help companies improve productivity, reduce costs, and develop new revenue opportunities.
  • It Supports Creative Work: From content production to design, Generative AI can make creative processes faster and more productive.
  • It Helps Solve Problems: It can support people as they work through complex problems and consider new perspectives.
  • It Can Create an Early Advantage: Companies and professionals that adopt the technology early can strengthen their position in the market.

What Will You Gain from This Training?

  • Broad Understanding: Develop knowledge across Generative AI fundamentals and advanced applications.
  • Practical Experience: Reinforce what you learn through hands-on projects each week.
  • Industry Perspective: Examine real-world applications and case studies to understand current industry trends.
  • Technical Skills: Build skills in prompt engineering, RAG, code automation, and related areas.
  • Business Perspective: Learn how Generative AI can be integrated into business processes and inform strategic decisions.
  • Creative Skills: Develop your abilities in content production and multimedia creation.
  • Ethical Awareness: Understand the ethical dimensions of AI use and responsible AI development.
  • Professional Network: Connect with expert instructors and other participants.

Course Content: What Will You Learn?

Week 1 (Day 1): Introduction to Generative AI and Large Language Models

  • Overview of Generative AI
  • The definition and history of Generative AI
  • Current applications and examples
  • Introduction to Large Language Models (LLMs)
  • The core principles and mechanisms behind LLMs
  • A review of models such as GPT-4o, Claude 3.5 Sonnet, and GPT-o1
  • Introduction to Prompt Engineering
  • Effective prompt design and practical tips
  • Example prompt applications and success stories

Week 1 (Day 2): Improving Productivity and Decision-Making with Generative AI

  • Generative AI-Powered Productivity Tools
  • AI tools that can improve productivity in business processes
  • Case study: Real-world applications and results
  • An Overview of AI for Strategic Decisions
  • AI and decision-support systems
  • Risk analysis and strategic planning with AI
  • Hands-On Project
  • Develop mini-projects that use AI in productivity and decision-making processes

Week 2 (Day 1): Creating Content with Generative AI

  • Content Creation Techniques
  • Methods for producing text, image, and video content
  • Content marketing strategies and the role of AI
  • Hands-On Project
  • Create and present a project using AI tools for content production

Week 2 (Day 2): Automating Coding and Data Analysis

  • Coding with Generative AI
  • Integrating AI into coding workflows
  • Automated code completion and error correction
  • Data Analysis Automation
  • AI use and automation techniques in data analysis
  • Methods for working with large datasets
  • Hands-On Project
  • Develop and present a practical project using AI for coding and data analysis

Week 3 (Day 1): Retrieval Augmented Generation (RAG)

  • Introduction to RAG
  • The concept and applications of Retrieval Augmented Generation (RAG)
  • Integrating information retrieval with generative models
  • Practical Techniques
  • Methods for working with RAG models
  • Real-time information retrieval and integrated content generation
  • Hands-On RAG Project
  • Develop and implement a project using a RAG model

Week 3 (Day 2): Creating Multimedia with Generative AI

  • Image Creation
  • Techniques for creating visual content with AI
  • Style transfer and image enhancement methods
  • Speech-to-Text and Text-to-Speech
  • Converting voice commands to text and generating speech from text
  • Speech recognition and synthesis technologies
  • Hands-On Multimedia Project
  • Develop and present projects that create visual and audio content

Week 4 (Day 1): Improving Customer Experience with Generative AI

  • Using AI in Customer Experience
  • AI solutions for customer service, including chatbots and virtual assistants
  • Creating personalized customer experiences with AI
  • Practical Techniques and Tools
  • Tools and platforms for developing chatbots and virtual assistants
  • AI-supported customer feedback analysis
  • Hands-On Project
  • Create and implement a simple chatbot or virtual assistant
  • Analyze customer feedback and develop improvement recommendations
  • Project Briefing
  • Introduction to project topics and assignment of tasks
  • Project planning and time management

Week 4 (Day 2): Final Project

  • Final Presentations
  • Presentation and evaluation of the completed projects
  • Feedback session and final assessments

Your Instructors

Ozan Ketenci: Ozan joined Zeo in 2015. During his digital marketing career, he has advised leading global brands including Amazon, Shell, PepsiCo, and BMW. A graduate of Istanbul Technical University, he began mentoring startups at İTÜ Çekirdek in 2019. He prioritizes sharing his experience with the community and enjoys taking part in events as an instructor and speaker. Ozan currently works at Zeo as Vice President of Strategy and Consulting and as a Generative AI consultant.

Can Mutioğlu: Can graduated from the Department of Public Finance at Dokuz Eylül University and began his career in finance. He is continuing his education in Management Information Systems at Anadolu University. His interest in digital work led him to change industries. He joined Zeo as an SEO intern in September 2020 and currently works at Zeo as an SEO Executive.