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

This instructor-led, live training in Italy (online or onsite) is designed for beginner to intermediate-level AI engineers and software developers who want to acquire a foundational understanding of AI engineering principles and practices.

By the end of this training, 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.

This intensive two-day workshop empowers participants with the essential skills to leverage Generative AI tools with precision, security, and consistency within technical and operational contexts. The curriculum is dedicated to transforming AI into a dependable daily partner for enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem resolution, and optimizing cross-functional dialogue. Attendees will master established prompting strategies, validation methods to mitigate errors and “hallucinations,” and streamlined governance protocols to safeguard confidential data and intellectual property. The program is structured to yield immediately applicable templates, workflows, and a sustainable framework for AI-assisted productivity.

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

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

• Gaining a deep understanding of the advanced concepts and technologies underlying AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively building, training, and deploying AI/ML models.
• Developing intelligent applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across various industries.

This instructor-led, live training is designed for anyone seeking to ensure their organization is compliant, minimizes risks, and empowers its workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications.
• Identify risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.

This instructor-led, live training in Italy (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:

• Grasp the history, core principles, and societal impact of artificial intelligence.
• Identify and apply various machine learning algorithms.
• Effectively manage and analyze data for AI-driven solutions.
• Recognize the practical applications and constraints of AI across different sectors.
• Engage in discussions regarding the ethical considerations and broader societal implications of AI technology.

This instructor-led, live training in Italy (online or on-site) targets intermediate to advanced data scientists, engineers, and AI practitioners 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 Italy (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers 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, conducted in Italy (either online or onsite), targets data scientists and software developers with beginner to intermediate experience. The session is specifically crafted to teach how to leverage Pinecone across various AI scenarios, from sophisticated semantic search to user personalization.

By the conclusion of this training, participants will have the capability to:

• Gain a clear understanding of Pinecone's architectural design and functional attributes.
• Deploy vector databases within diverse AI application landscapes.
• Conduct similarity searches characterized by exceptional accuracy and speed.
• Utilize Pinecone to solve complex, real-world AI problems.

Artificial Intelligence is swiftly establishing itself as a cornerstone of contemporary product management, fundamentally altering the ways in which organizations identify customer needs, conceptualize solutions, and drive strategic decisions. Much like the industrial impact of electricity, AI is redefining the lifecycle of product creation, validation, and evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live training—available both online and onsite—focuses on integrating AI to elevate product ownership and fortify decision-making processes.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven preferred Product Owner stances, including the newly introduced Orchestrator stance, utilizing AI to reinforce roles such as Visionary, Experimenter, and Customer Representative.
• Perfect the art of effective prompting, viewing AI tools not just as utilities but as intelligent collaborators with distinct capabilities.
• Enhance customer insights by developing AI-assisted personas for discovery and hypothesis testing, all while preserving genuine customer engagement.
• Craft and articulate a compelling product vision through structured methods like the 3x3 Framework, using AI to refine and visualize narratives.
• Leverage Generative AI to expedite prototyping and hypothesis testing, for instance by creating mock-ups or new product concepts.
• Inform product decisions by employing AI to assess, rank, and evaluate features based on value, feasibility, and user impact.
• Streamline routine responsibilities, such as email management and note-taking, by delegating them to AI, thereby freeing up time for strategic and creative pursuits.
• Facilitate informed discussions regarding AI ethics, bias, and data security to ensure responsible and sustainable integration.
• Pinpoint and architect valuable AI use cases that align with specific product and organizational requirements.
• Gain practical experience with approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding technologies.

This instructor-led, live training in Italy (online or onsite) is aimed at beginner-level software developers and database administrators who wish to learn the basics of vector databases, including their structure, operation, and use cases.

By the end 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 Italy (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish 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.