Foundations of Artificial Intelligence (ICP-FAI) Certification Training

About Course

Foundations of AI (ICP-FAI) is a 2-day course in which the students explore the fundamentals of AI and Machine Learning. This course enables the learners to debunk some common myths associated with AI and gain a deeper understanding of how to put AI to practical use.

The course will help you to understand the history, ethics, and evolution of AI and at the same time, will also embed practical techniques to make the best use of AI to make your teams and organizations ready for the future. The course also delves into the key skills needed to become an AI practitioner and provides hands-on experience to develop prompt engineering techniques.

What Will You Learn?

History and Evolution of AI: Gain clarity on what AI is, its foundations and evolution over the years.
Establishing the foundations of Agility: Gain clarity on the basics of Agility and how it works in tandem with AI to make teams more effective
Exploring the basics of AI and benefits for Agile Teams: Cross-functional teams and AI, Iterative Development and Continuous Feedback to improve AI focused solutions
Prompt Engineering: Understanding the basics of Prompt engineering and developing the skills to build better prompts
Ethical implications while using AI: Exploring the typical challenges with usage of AI such as inherent bias, data privacy and misuse.
Applying AI in the organizational context: How is AI strategically important for organizational evolution.

Material Includes

Foundations of Artificial Intelligence (ICP-FAI) Certification

Course Curriculum

Introduction To Artificial Intelligence
This module covers AI's history, evolution, and key concepts. Learn how AI differs from traditional computing, its real-world applications, and its rapid growth. Understand AI components like machine learning and deep learning, and debunk common myths. Explore the differences between Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI).

ETHICS OF AI
This module explores the ethical considerations of AI, ensuring fairness, transparency, and accountability. Learn how to address issues like bias, privacy, and misuse while integrating AI responsibly in organizations. Understand the impact of biased data on AI decisions and discover strategies to ensure ethical, fair, and trustworthy AI practices.

Leveraging Artificial Intelligence
This module explores how an Agile mindset enhances AI adoption through learning, experimentation, and adaptability. It highlights how Agile behaviors like iterative development and continuous feedback support AI solutions. Learn the role of cross-functional teams in AI, combining skills like data science, software engineering, and ethics to build smart, fair, and value-driven AI systems.

Prompt Engineering
This module explores prompt engineering, a key skill for optimizing AI interactions. Learn how to craft precise prompts for accurate AI responses, refine prompts based on results, and understand the importance of context. Discover how different AI models interpret prompts and develop strategies for effective, prompt design across various AI solutions.

Artificial Intelligence In The Enterprise
This module explores how AI transforms businesses by enhancing decision-making, optimizing operations, and driving competitive advantage. Learn how to align AI with business strategy, manage AI-driven change, and ensure scalability. Understand AI maturity levels, the differences between traditional and AI-driven initiatives, and real-world AI applications that impact organizations.