GPU Programming on Biren AI Accelerators Training Course

This instructor-led, live training in Bulgaria (online or onsite) targets beginner to intermediate AI engineers and software developers aiming to gain a foundational understanding of AI engineering principles and practices.

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

• Grasp the core concepts and technologies driving AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to solve practical software development challenges.
• Effectively manage and maintain AI projects by adhering to industry best practices.
• Awareness of the ethical implications and responsibilities associated with developing AI systems.

Over the course of two immersive days, this workshop empowers professionals to integrate Generative AI into their daily technical and operational routines with precision and confidence. The curriculum is dedicated to transforming AI into a dependable partner for enhancing documentation, organizing complex requirements, speeding up analytical processes, and facilitating smoother cross-team collaboration. Learners will master established prompting strategies and quality assurance methods to minimize errors and mitigate "hallucinations," while adopting streamlined governance frameworks that safeguard proprietary data and intellectual property. By the end of the session, participants will leave with ready-to-implement templates, optimized workflows, and a sustainable methodology for AI-driven productivity.

This instructor-led, live training in Bulgaria (online or onsite) is designed for AI professionals and software developers at intermediate to advanced levels who aim to construct intelligent applications using AI and ML.

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

• Comprehend the advanced concepts and technologies underpinning AI and ML.
• Analyze and visualize data to guide AI/ML model development.
• Construct, train, and deploy AI/ML models effectively.
• Develop intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led live training in Bulgaria (online or onsite) is designed for 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 live, instructor-led training in Bulgaria (online or on-site) targets intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the intricacies of intelligent applications and apply them to solve complex, real-world challenges.

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

• Implement and evaluate deep learning architectures.
• Deploy machine learning solutions at scale within distributed computing environments.
• Design and execute reinforcement learning models to facilitate decision-making.
• Build advanced natural language processing (NLP) systems for language comprehension.
• Apply computer vision techniques for image and video analysis.
• Address ethical implications in the creation and deployment of AI systems.

Artificial Intelligence is swiftly establishing itself as the bedrock of contemporary product management, fundamentally altering the methods used to uncover customer requirements, craft solutions, and drive strategic decisions. Much like electricity transformed industrial capabilities, AI is redefining the lifecycle of product creation, validation, and evolution.

This live, instructor-led training session, available either online or on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can augment product ownership responsibilities and reinforce decision-making processes.

Upon completing this training, participants will possess the ability to:

• Grasp the core principles of Artificial Intelligence and distinguish between conventional AI systems and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, utilizing AI to bolster each aspect—such as Visionary, Experimenter, or Customer Representative.
• Refine prompt engineering skills to engage with AI tools as specialized, intelligent collaborators.
• Enhance customer insight by generating AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Formulate and articulate a precise product vision using structured models like the 3x3 Framework, employing AI to craft and visualize compelling narratives.
• Leverage Generative AI tools to expedite prototyping and hypothesis validation, including the creation of mock-ups and product concepts.
• Inform product decisions by utilizing AI to analyze, rank, and assess features based on value, feasibility, and user impact.
• Automate or delegate routine operational tasks, such as email management, stakeholder coordination, and note-taking, via AI to prioritize strategic and creative initiatives.
• Facilitate discourse on AI ethics, bias, and data security, promoting responsible and sustainable integration of AI technologies.
• Recognize and develop high-value AI use cases that align with specific product and organizational needs.
• Investigate and utilize approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping environments to generative video, image, and code generation solutions.

This live, instructor-led training in Bulgaria targets teams looking to query their own documents and guidelines for answers.

By the end of the session, participants will be able to:

• Structure documents for optimal AI integration
• Construct a knowledge assistant utilizing Claude Projects, custom GPTs, or Langdock
• Retrieve answers with clear source attribution
• Maintain an up-to-date knowledge repository