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

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

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Develop 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.
• Identify the ethical implications and responsibilities associated with developing AI systems.

Designed for immediate practical application, this two-day immersive workshop provides participants with the essential skills to leverage Generative AI tools securely and consistently within technical and operational contexts. The program transforms AI into a dependable daily assistant, enhancing documentation creation, structuring complex requirements, and accelerating data analysis and reporting. Attendees will master effective prompting strategies, implement robust validation methods to minimize errors and hallucinations, and apply streamlined governance frameworks to safeguard sensitive information and intellectual property. The ultimate goal is to deliver ready-to-use templates, efficient workflows, and a scalable approach to AI-assisted productivity.

This instructor-led, live training in Argentina (online or onsite) is tailored for AI professionals and software developers at intermediate to advanced levels who intend to build smart applications using AI and ML.

Upon completing this training, participants will be able to:

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

This instructor-led, live training in Argentina (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 Argentina (online or onsite) is designed for 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 guided, live training in Argentina (online or in-person) is designed for data scientists and software developers with beginner to intermediate experience 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 instructor-led, live training offered in Argentina (via online or onsite modalities) caters to data scientists and software developers at beginner to intermediate levels who aim to master the application of Pinecone in various AI settings, ranging from semantic search to personalization strategies.

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

• Grasp the underlying architecture and distinct features of Pinecone.
• Integrate vector databases into multiple AI application frameworks.
• Conduct similarity searches characterized by high precision and speed.
• Deploy Pinecone to solve practical, real-world AI problems.

AI is rapidly evolving into the cornerstone of modern product management, fundamentally altering how we identify customer needs, formulate solutions, and drive strategic decisions. Much like electricity transformed industrial capabilities, Artificial Intelligence is redefining the entire lifecycle of product creation, validation, and evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this live, instructor-led training (available online or onsite) explores how AI can amplify product ownership capabilities and fortify decision-making processes.

Upon completion of this course, 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 newly introduced Orchestrator stance, leveraging AI to enhance each area, such as acting as a Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting, viewing AI tools as intelligent partners with distinct specialized capabilities.
• Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Craft and articulate a compelling product vision using structured methodologies like the 3x3 Framework, utilizing AI to refine and visualize narrative elements.
• Leverage Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and assess features according to value, feasibility, and user impact.
• Streamline routine daily responsibilities, such as email management, stakeholder communication, and note-taking, through AI automation to concentrate on strategic and creative endeavors.
• Facilitate conversations regarding AI ethics, bias, and data security, promoting responsible and sustainable integration.
• Recognize and design high-value AI use cases that align with specific product and organizational contexts.
• Investigate and practice with approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative solutions for video, images, and code.

This instructor-led, live training in Argentina (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:

• Grasp the concept and purpose of vector databases.
• Distinguish between vector and traditional databases.
• Master basic techniques for creating and managing vector data.
• Execute simple similarity searches.
• Appreciate the role of vector databases in AI applications.

This instructor-led, live training in Argentina (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.