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

This instructor-led live training in Nigeria (online or onsite) is designed for beginner to intermediate AI engineers and software developers seeking a foundational grasp 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.

Spanning two days of practical application, this program builds the competencies required to utilize Generative AI tools effectively, securely, and consistently within technical and operational contexts. The curriculum emphasizes transforming AI into a trusted daily assistant for creating and refining documentation, organizing requirements, speeding up analytical reporting, aiding problem resolution, and enhancing cross-departmental communication. Learners will acquire proven prompting patterns, validation techniques to curtail errors and “hallucinations,” and basic governance practices to ensure the protection of sensitive information and intellectual property. The course is structured to deliver ready-to-use templates, streamlined workflows, and a repeatable methodology for AI-assisted work.

This live, instructor-led training in Nigeria (online or on-site) is designed for AI professionals and software developers at intermediate to advanced levels who wish to build smart applications using AI and ML.

Upon completing this training, participants will be equipped to:

• Grasp the 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 addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is tailored for data scientists, engineers, and AI practitioners at intermediate to advanced levels who wish to master the complexities of intelligent applications and leverage them to solve intricate, 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 Nigeria (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 instructor-led, live training in Nigeria (available online or onsite) is tailored for data scientists and software developers at beginner to intermediate levels who aim to master the application of Pinecone in various AI contexts, from semantic search to personalization.

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

• Comprehend the architecture and distinct features of Pinecone.
• Apply vector databases across different AI applications.
• Conduct similarity searches with high precision and rapidity.
• Leverage Pinecone to solve real-world AI problems.

Artificial Intelligence is steadily emerging as the cornerstone of contemporary product management, fundamentally altering how we uncover customer requirements, formulate solutions, and drive strategic decisions. Much like electricity transformed industrial capabilities, AI is redefining the ways products are conceptualized, validated, and refined.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live session (available online or onsite) focuses on leveraging AI to elevate product ownership and sharpen 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 key stances of a Product Owner, including the emerging Orchestrator stance, and utilize AI to reinforce each, whether acting as a Visionary, Experimenter, or Customer Representative.
• Refine prompting techniques and engage AI tools as sophisticated collaborators with distinct capabilities.
• Enhance customer insight and develop AI-assisted personas for hypothesis validation and discovery, while preserving genuine customer engagement.
• Formulate and articulate a precise product vision using structured methods such as the 3x3 Framework, employing AI to refine and visualize narratives.
• Utilize Generative AI to speed up prototyping and hypothesis testing, for instance by creating mock-ups or initial product concepts.
• Inform product decisions by applying AI to analyze, prioritize, and assess features based on value, feasibility, and user influence.
• Streamline or delegate recurring administrative tasks, such as email management, stakeholder communication, and note-taking, to concentrate on strategic and creative initiatives.
• Facilitate dialogues on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Recognize and craft high-value AI applications suited to specific product and organizational needs.
• Interact with and test approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding solutions.

This instructor-led, live training in Nigeria (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.
• Acquire basic techniques for creating and managing vector data.
• Conduct simple similarity searches.
• Appreciate the role of vector databases in AI applications.

This instructor-led, live training in Nigeria (online or onsite) is tailored for intermediate 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:

• Comprehend the core principles of vector databases.
• Acquire 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.