Applied AI Institute

Discover the essentials of Artificial Intelligence (AI) in our focused course. Learn what AI is, its key capabilities, and delve into various AI technologies through real-world use cases. Understand the components that make up an AI solution, and gain practical skills in strategizing AI engagements for effective technology integration. This course is ideal for professionals and enthusiasts eager to explore and leverage AI's transformative potential in various industries.

Embark on a journey into AI model development with our course, focusing on handling unstructured data. Learn problem selection, data analysis, model building, and improvement through user feedback. We offer a modified CRISP-DM approach, tested in real-life projects. Gain expertise in feature engineering, model integration, and user monitoring, all underlined by governance controls. This case study-driven course equips you for the evolving landscape of AI.

You will work on real-world capstone projects using AAII's large language model sandbox configured with different publicly available models .You'll learn 

• How ro craft effective prompts using various techniques.
• Contextualize prompts for specific tasks.
• Evaluate and optimize prompts.
• Understand ethical considerations and best practices

Dive into the practical applications of Knowledge Graphs with our course, focusing on transforming your data into actionable insights. Learn through real-world use cases how to apply knowledge representation for enhanced search, discovery, and recommendation in business settings. This course offers hands-on experience, turning information into a powerful tool for informed decision-making in today's data-driven world.

Maximize your AI deployment effectiveness with our AI governance course, tailored for business professionals and project executives. Learn to identify and resolve AI system issues, ensure continuous learning, and manage 24/7 operations. Discover strategies for model evolution and life cycle management. This course equips you with the skills and tools to maintain AI integrity, performance, and user engagement, extending your expertise from data to AI governance.

This course addresses the shift in data analysis from traditional methods, highlighting the growing importance of real-time decision-making and digitization. Focusing on Knowledge Graph solutions, it explores their use, benefits, and complexity. You'll learn to strategize Graph analytics experiences, essential for effective decision-making in modern businesses, particularly in enhancing customer service through proactive, informed choices.

Embark on a journey into Vision AI with our course, designed for the era of unstructured data. Learn to analyze and interpret images using Vision AI, covering image classification, object detection, and more. The course offers an in-depth understanding of Vision AI's key concepts, real and hypothetical use cases, and its components. Enhance your skills with interactive quizzes and case studies, preparing you for practical applications in today's tech-driven world.

Master the art of online engagement with our "Introduction to Conversational AI" course. Delve into the complexities of conversational systems, understand essential components of Conversational AI, and learn to design advanced conversational experiences. This course is perfect for enhancing customer, supplier, and employee interactions, featuring interactive quizzes and a final exam to solidify your expertise in transforming your digital communication strategy.

Unlock the power of AI for your enterprise with this comprehensive course, covering the five pillars of success: Platform, Solution Portfolio, Communication, Talent, and Governance. Gain the knowledge and skills to drive innovation, build top-performing teams, and ensure safe, ethical, and compliant AI implementations.

Explore the evolution of data science from Business Intelligence to AI in our course, "Data Science in Action using Python and LLM." Tackle big data challenges, adapt BI methodologies for AI, and work on real-life case studies. Learn Python and Scikit-learn with no prior experience required. This course is a comprehensive journey into the transformative world of modern data science, suitable for beginners and enthusiasts alike.

Embark on a journey to mastering Neo4j with our course, focusing on building a Graph solution for movie search. Learn to articulate use cases, design components, upload CSV data, perform queries, and visualize results with Bloom. This hands-on course equips you with practical skills in Graph technology, enhancing your ability to engage with data for insights applicable to customers, suppliers, and employees. Join us for an immersive learning experience.

Join this course to become proficient in cutting-edge AI technologies. Explore the realms of Conversational and Generative AI with a special emphasis on GPT-4. Gain insights into Prompt Engineering, Large Language Models, Embedding techniques, and beyond. This training equips you to devise advanced AI applications, implementing them in practical scenarios to boost customer interaction. This course sets you up for a future dominated by seamless, AI-powered communication.

Embark on a data science journey with our "Data Science in Action using Dataiku" course. Focused on practical application, this course guides you through a modified CRISP-DM methodology using Dataiku. Learn to set up, explore, prepare, develop, evaluate, deploy, and monitor data models in a hands-on environment. Ideal for those new to data science, this course culminates in a capstone project, solidifying your skills in real-world scenarios.

Embark on a data science journey with our "Data Science in Action using Ikigailabs" course. Learn to develop AI models from start to finish using a modified CRISP-DM methodology. This hands-on course covers use case analysis, data preparation, model development, evaluation, deployment, and monitoring, using the user-friendly Ikigailabs platform. Ideal for beginners, it offers practical experience with a real-life case study, preparing you for real-world data science applications.

The course delves into enhancing Large Language Model accuracy by integrating Taxonomy  Augmented Generation (TAG) and Retrieval-Augmented Generation (RAG). Students will explore supervised classification techniques, utilizing taxonomy to incorporate domain-specific knowledge into LLMs. By combining custom embeddings, vector databases, and structured taxonomies, participants will address challenges like outdated corpora and improve LLM outputs. The course emphasizes  real-world scenarios through hands-on exercises and capstone projects.

This course equips students to design, build, and deploy predictive AI solutions through practical capstone projects. By integrating generative techniques like LLMs with predictive modeling, participants will engage in data engineering, feature discovery, AutoML, model evaluation, and deployment on target platforms. Various class exercises will reinforce these concepts, enabling students to apply their learning effectively within capstone projects. The hands-on approach ensures mastery, culminating in a Credly certification that validates their expertise in this advanced field.

Learn hands-on approach to mastering the creation and integration of AI-driven copilots and orchestrators. It covers essential tools and frameworks like Langchain and Flowise to help learners develop robust applications that leverage large language models (LLMs) for various tasks. Course also introduces methods for testing and evaluation. Participants will explore real-world use cases, design intelligent workflows, and implement AI solutions to enhance user experiences. This course is ideal for those looking to build sophisticated, interactive systems using generative AI.