AI Academy

Generative AI: Introduction and Applications

Instructor: Rav Ahuja Duration: Approx. 7 hours
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

Generative AI: Elevate Your Data Science Career

Instructor: Rav Ahuja , Abhishek Gagneja , Dr. Pooja Duration: 4 hours to complete
Objective 1 Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data
Objective 2 Examine real-world scenarios where generative AI can enhance data science workflows
Objective 3 Practice generative AI skills in hand-on labs and projects by generating and augmenting datasets for specific use cases
Objective 4 Apply generative AI techniques in the development and refinement of machine learning models
Predictive Modeling
Data Synthesis
Exploratory Data Analysis
Feature Engineering
Generative AI
Data Ethics
Natural language processing
Predictive Analytics
Data Presentation
Data Visualization Software
Data Modeling
Data Cleansing
Data analysis
Data Manipulation
Data Storytelling