AI Engineering Training in Banat

This guided, live training in Banat (online or onsite) is designed for AI specialists and software developers at intermediate to advanced levels who want to create smart applications using AI and ML.

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

• Grasp advanced concepts and technologies underlying AI and ML.
• Analyze and visualize data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop smart applications capable of solving real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Banat (online or on-site) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the nuances of intelligent applications and apply 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 Banat (online or onsite) is designed for beginner to intermediate AI engineers and software developers seeking a solid foundation in AI engineering principles and practices.

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

• Grasp the core concepts and technologies underlying AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical issues in software development.
• Manage and sustain AI projects by adhering to best practices in AI engineering.
• Awareness of the ethical implications and responsibilities associated with developing AI systems.

This instructor-led, live training in Banat (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.

Over this intensive two-day, hands-on session, participants will acquire the practical skills needed to integrate Generative AI tools effectively, securely, and consistently into their technical and operational routines. The program emphasizes transforming AI into a dependable daily companion for tasks such as drafting and refining documentation, organizing requirements, speeding up analysis and reporting, enhancing problem-solving capabilities, and facilitating smoother cross-functional communication. Learners will explore established prompting techniques, validation methods to minimize errors and "hallucinations," and streamlined governance protocols to safeguard confidential data and intellectual property. The course is structured to deliver instantly applicable templates, workflows, and a sustainable approach to AI-assisted work.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer requirements, formulate solutions, and make strategic choices. Much like electricity transformed industrial processes, AI is reshaping the way products are developed, validated, and evolved.

This live, instructor-led training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can augment product ownership capabilities and fortify decision-making processes.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of Artificial Intelligence and distinguishing between conventional AI and Generative AI (GenAI).
• Implementing the seven key stances of a Product Owner (including the emerging Orchestrator stance) and utilizing AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
• Mastering effective prompting techniques and viewing AI tools as intelligent collaborators with distinct expertise.
• Enhancing customer insight and developing AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Formulating and articulating a distinct product vision using structured frameworks like the 3x3 Framework, employing AI to craft and visualize narratives.
• Leveraging Generative AI tools to expedite prototyping and hypothesis testing, for instance, by creating mock-ups or product concepts.
• Informing product decisions by utilizing AI tools to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Automating or delegating routine daily tasks (emails, stakeholder management, note-taking) via AI to dedicate more time to strategic and creative endeavors.
• Facilitating discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Recognizing and designing high-value AI use cases customized to the specific product and organizational environment.
• Exploring and experimenting with approximately 20 different AI tools and models — ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.