An AI Assistant on Your Company Knowledge, Without Code Training Course

This instructor-led, live training in Turkey (online or on-site) is designed for beginner to intermediate-level AI engineers and software developers who aim to establish a foundational understanding of AI engineering principles and practices.

By the end of this course, participants will be able to:

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

Over two intensive days, this practical workshop empowers participants with the essential skills to leverage Generative AI tools efficiently, securely, and consistently within technical and operational contexts. The core objective is to transform AI into a dependable daily companion for refining documentation, organizing requirements, expediting analysis and reporting, enhancing problem-solving capabilities, and facilitating smoother cross-functional dialogue. Learners will master established prompting strategies, validation methods designed to mitigate errors and “hallucinations,” and streamlined governance protocols that safeguard confidential data and intellectual property. By the end of the session, you will possess immediately applicable templates, optimized workflows, and a sustainable framework for AI-assisted productivity.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate to advanced-level AI professionals and software developers aiming to create smart solutions using AI and ML.

Upon completing this training, participants will be capable of:

• Grasping the advanced concepts and technologies underlying AI and ML.
• Analyzing and visualizing data to guide AI/ML model development.
• Effectively building, training, and deploying AI/ML models.
• Creating smart solutions capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across various industries.

This instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

By the end of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This instructor-led live training in Turkey (online or onsite) targets data scientists, engineers, and AI practitioners at intermediate to advanced levels who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Turkey (online or onsite) is designed for data scientists and software developers at beginner to intermediate levels who wish to learn about Milvus and its practical applications in various AI scenarios.

By the end of this training, participants will be able to:

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

This live, instructor-led training held in Turkey (delivered either online or onsite) is designed for data scientists and software developers from beginner to intermediate levels. The curriculum focuses on learning how to deploy Pinecone within various AI contexts, ranging from semantic search to personalized user experiences.

By the conclusion of this program, participants will be equipped to:

• Gain a clear understanding of Pinecone's architecture and key features.
• Implement vector database solutions across different AI application types.
• Conduct similarity searches characterized by high precision and speed.
• Apply Pinecone effectively to solve real-world AI challenges.

Artificial Intelligence is swiftly establishing itself as the bedrock of contemporary product management, fundamentally altering our methods for uncovering customer needs, defining solutions, and making strategic decisions. Much like electricity transformed industrial landscapes, AI is redefining how products are constructed, validated, and iterated.

This live, instructor-led program (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to harness AI for enhanced product ownership and more robust decision-making.

Upon completion of this training, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, utilizing AI to reinforce each position—such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques, viewing AI tools as intelligent partners with distinct professional capabilities.
• Enhance customer insight and develop AI-assisted personas for hypothesis testing and discovery, ensuring genuine customer engagement is maintained.
• Craft and articulate a clear product vision using structured models like the 3x3 Framework, employing AI to refine and visualize narratives.
• Leverage Generative AI tools to speed up prototyping and hypothesis testing, such as creating mock-ups or product concepts.
• Inform product decisions by using AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline or automate routine daily tasks (emails, stakeholder management, note-taking) via AI, allowing more focus on strategic and creative initiatives.
• Facilitate conversations on AI ethics, bias, and data security, promoting responsible and sustainable AI integration.
• Identify and architect high-value AI use cases specifically aligned with product and organizational contexts.
• Experiment with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.

This instructor-led live training in Turkey (available online or onsite) is designed for beginner-level software developers and database administrators who aim to learn the core principles of vector databases, including their structure, operations, and use cases.

By the conclusion of this training, participants will be able to:

• Understand the concept and purpose of vector databases.
• Recognize the differences between vector and traditional databases.
• Learn basic techniques for creating and managing vector data.
• Perform simple similarity searches.
• Appreciate the role of vector databases in AI applications.

This instructor-led live training in Turkey (online or on-site) targets intermediate to advanced data scientists and machine learning engineers who aim to master the use of vector databases for scalable, high-performance AI applications.

By the end of this training, participants will be able to:

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.