Elevate your AI game with this dynamic course designed for professionals, consultants, and enthusiasts. Discover how to harness Large Language Models—including GPT-3 and GPT-4—for strategic business impact. Explore AI’s evolution, major breakthroughs, and real-world applications that shape today’s landscape. Master prompt engineering to craft effective inputs, optimize conversational AI, and deploy chatbots or virtual assistants. Through hands-on exercises, case studies, and expert-led discussions, you’ll develop the technical fluency and strategic vision to future-proof your organization with transformative AI solutions.
This comprehensive program is designed to equip you with the knowledge and skills necessary to harness the power of artificial intelligence and drive innovation within your organization. AI platform: Create a data marketplace, leverage synthetic data, and implement end-to-end ModelOps. Solution portfolio: Build an AI portfolio aligned with strategic goals using unifying frameworks and design thinking principles. Communication: Craft compelling narratives, tailor messaging, and engage stakeholders through innovative channels. Talent: Attract and retain top AI talent, incentivize continuous learning, and foster collaboration. Governance: Ensure safe, ethical, and compliant AI deployment through data governance, model explainability, and adversarial robustness. Unlock the full potential of AI for your enterprise and become an industry leader.
This course is designed for Senior Management and CXOs looking to leverage AI in their organizations. Participants will gain a comprehensive understanding of AI’s strategic applications, implementation roadmaps, and impact on business transformation. Through a blend of instructor-led lectures, recorded content, and case studies, executives will explore AI adoption strategies, decision-making frameworks, and scaling AI for enterprise-wide success.
Bridging real world challenges with Generative AI - August 2024
Build Conversational AI solutions using Generative AI technology specifically GPT4
Learn step by step process for conducting data driven AI Engagement
Learn step by step process for conducting data driven AI Engagement using Dataiku
Gain hands-on experience in prototyping a date driven AI engagement using Python
Boost your self-esteem by prompt engineering on our sandbox using practical use cases
Design Graph Analytics to Improve Business Effectiveness
Learn strategies for governing life cycle management of your AI Models
Define strategy and engagement for Artificial Intelligence solutions
Strategize Vision AI engagement and associated benefit Case
Rapid prototyping of Knowledge Graph solutions using Neo4j and Large Language Model
Rapid prototyping of Knowledge Graph solutions using TigerGraph
Embark on a transformative journey with our course, "Mastering Prompt Engineering using LLM." Designed for business professionals and AI enthusiasts, this program equips you to leverage Large Language Models (LLMs) effectively. Start with an introduction to AI, exploring its history, key technologies, and applications. Understand the mechanics of LLMs like GPT-3 and GPT-4 and their significance. Learn the art of prompt engineering, crafting inputs to guide LLMs in producing high-quality outputs. Discover different prompt types and techniques for enhancing effectiveness. The course covers evaluating and optimizing prompts, and best practices in conversational AI for chatbots and virtual assistants. Real-world case studies highlight practical applications and common pitfalls. Ethical considerations, including bias and privacy, guide responsible AI usage. Join us and shape the future of AI interactions.
The workshop introduces Gradebot, an AI-powered grading tool designed to simplify and automate the grading process. Participants will learn how to create assignments, set grading criteria, provide student feedback, and leverage advanced features for streamlined workflows, making it ideal for educators and TAs.
"Prompt Engineering" webinar by Applied AI Institute — a 90-minute session to sharpen your prompt engineering skills. Led by Neena Sathi, an AI expert with 35+ years of experience, it covers Taxonomy Augmented Generation (TAG), LLM-based workflows, and real-world cases like Investment Coach and Health Equity Analysis. Engage in hands-on exercises and audience polling to drive business impact with better AI responses. Ideal for professionals and developers.
This white paper explores how the flipped interaction prompt engineering technique can enhance the effectiveness of large language models (LLMs), using the example of an investment advisor. It demonstrates how an LLM can ask targeted questions to better understand a user's investment goals and background before providing tailored advice. This technique improves the quality of interactions and ensures users receive the most relevant and helpful information.