Projects
Assignments
Overview
The Generative AI Course Masters Program is an extensive learning experience designed to immerse professionals in the world of Generative AI. This comprehensive program covers the principles of Generative AI, Python programming, data science, NLP, and much more, with 200+ hours of interactive learning. You’ll gain hands-on experience through projects and assignments, preparing you to excel in AI-related roles across various industries.
Objectives
By the end of this course, leaner will be able to:
- Master the fundamentals of Generative AI, including its principles and real-world applications.
- Develop proficiency in Python programming and its application in AI projects.
- Understand and implement advanced techniques in NLP and prompt engineering.
- Apply data science concepts to create and evaluate AI models for practical use cases.
- Work on real-world projects to gain hands-on experience and build a strong portfolio.
Prerequisites
- Basic knowledge of programming, preferably in Python.
- A foundational understanding of artificial intelligence and data science.
- An interest in exploring advanced AI techniques like Generative AI and NLP.
- The ability to work on interactive projects and assignments.
- A desire to upskill and pursue a career in AI-related fields.
Course Outline
Module 1: Introduction to Generative AI and Python ProgrammingCourses2024-08-20T09:04:05+05:30
- Basics of Python programming and its role in AI development.
- Overview of Generative AI, key concepts, and industry applications.
Module 2: Data Science Foundations for AICourses2024-08-20T09:04:44+05:30
- Data preprocessing, feature engineering, and exploratory data analysis.
- Building and evaluating machine learning models for AI applications
Module 3: Natural Language Processing (NLP) and Generative ModelsCourses2024-08-20T09:06:38+05:30
- Introduction to NLP, sentiment analysis, and text generation.
- Exploring Generative AI models like GPT and their practical applications.
Module 4: Advanced Prompt Engineering and AI TechniquesCourses2024-08-20T09:07:09+05:30
- Effective prompt engineering for AI model optimization.
- Deep dive into advanced techniques like embeddings and vector databases.
Module 5: Real-World Projects and AI ImplementationCourses2024-08-20T09:08:16+05:30
- Hands-on projects that integrate Generative AI, NLP, and data science.
- Practical assignments to apply learning and build a robust portfolio.
