AI Academy

Introduction to Artificial Intelligence (AI)

Instructor: Rav Ahuja Duration: 7 hours to complete
Objective 1 Explain the fundamental concepts and applications of AI in various domains.
Objective 2 Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.
Objective 3 Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.
Objective 4 Design a generative AI solution for an organizational challenge, integrating ethical considerations.
Data Ethics
Prompt Engineering
Artificial Intelligence and Machine Learning (AI/ML)
Large Language Modeling
ChatGPT
Generative AI
Deep Learning
Automation
Computer Vision
Business Technologies
Artificial Neural Networks
Natural language processing
Machine Learning
Applied Machine Learning
Ethical Standards And Conduct
Digital Transformation
Business Transformation
Artificial Intelligence
Governance
OpenAI

Generative AI: Introduction and Applications

Instructor: Rav Ahuja Duration: 2 hours to complete
Objective 1 Describe generative AI and distinguish it from discriminative AI.
Objective 2 Describe the capabilities of generative AI and its use cases in the real world.
Objective 3 Identify the applications of generative AI in different sectors and industries.
Objective 4 Explore common generative AI models and tools for text, code, image, audio, and video generation.
Virtual Environment
ChatGPT
Program Development
Image Analysis
Large Language Modeling
Content Creation
Artificial Intelligence
OpenAI
Generative AI
Prompt Engineering

Generative AI: Prompt Engineering Basics

Instructor: Antonio Cangiano , Rav Ahuja Duration: Approx. 7 hours
Objective 1 Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.
Objective 2 Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.
Objective 3 Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.
Objective 4 Explore commonly used tools for prompt engineering to aid with prompt engineering.
ChatGPT
Generative AI
Large Language Modeling
Image Analysis
Prompt Engineering

Building AI Powered Chatbots Without Programming

Instructor: Antonio Cangiano Duration: 1 week at 10 hours a week
Objective 1 The job-ready chatbot skills businesses need in just 6 weeks! No programming experience required.
Objective 2 How to embed an AI powered recommendation system into a chatbot to ensure personalized customer service.
Objective 3 How to implement and test complex workflows within chatbot actions to enhance user interactions.
Objective 4 Hands-on experience deploying a chatbot in a real-world scenario.
Artificial Intelligence
Decision Support Systems
Workflow Management
Interaction Design
Business Process Automation
IBM Cloud
Generative AI
Customer Service
Customer experience improvement
Automation
ChatGPT
Application Deployment