About This Course
This professional Generative AI course is designed for students, fresh graduates, and working professionals who want to build industry-ready skills in modern AI application development. The program covers Prompt Engineering, Generative Models, AI Content Creation, Retrieval-Augmented Generation (RAG), AI Agents, and Business Applications through hands-on practical exercises, assignments, and real-world projects. Learners will gain practical experience in building AI-powered assistants, intelligent automation systems, content generation tools, and enterprise AI solutions. By the end of the course, participants will be able to design, develop, and deploy production-ready Generative AI applications using the latest AI frameworks, tools, and industry best practices.
Course Content
- Introduction to Prompt Engineering
- Core Concepts of Prompt Engineering
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to Generative Models
- Core Concepts of Generative Models
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to AI Content Creation
- Core Concepts of AI Content Creation
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to RAG
- Core Concepts of RAG
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to AI Agents
- Core Concepts of AI Agents
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to Business Applications
- Core Concepts of Business Applications
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
Course Details
Related Courses
Complete Course Curriculum
Our comprehensive curriculum is designed to take you from beginner to advanced scientist. Each module builds upon the previous one, ensuring a solid foundation in all essential Generative Ai skills.
Course Content
- Introduction to Prompt Engineering
- Core Concepts of Prompt Engineering
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to Generative Models
- Core Concepts of Generative Models
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to AI Content Creation
- Core Concepts of AI Content Creation
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to RAG
- Core Concepts of RAG
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to AI Agents
- Core Concepts of AI Agents
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
- Introduction to Business Applications
- Core Concepts of Business Applications
- Hands-on Practical Exercises
- Industry Use Cases
- Mini Project using Formulas
Learning Path
Hands-on Projects
Our curriculum includes multiple real-world projects that help you apply theoretical knowledge to practical problems. Each project is designed to build your portfolio.
Objective: Build an intelligent chatbot capable of answering questions from company documents using Retrieval-Augmented Generation (RAG) and Vector Databases.
Skills:LangChain, RAG, Vector Databases, LLM APIs, Prompt Engineering
Objective: Develop an application that allows users to upload PDFs, search documents, and receive accurate AI-generated answers with contextual retrieval.
Skills:Embeddings, LangChain, Document Processing, RAG Pipelines, Semantic Search
Project Benefits
Career Benefits & Opportunities
Generative Ai is one of the most in-demand skills in the job market. Our course prepares you for lucrative career opportunities in top tech companies and organizations.
Career Paths After Completion
Top Hiring Companies
Career Support
Complete Course Curriculum
Our comprehensive curriculum is designed to take you from beginner to advanced scientist. Each module builds upon the previous one, ensuring a solid foundation in all essential Generative Ai.
Yes. The course starts with Generative AI fundamentals and gradually progresses to advanced topics such as Prompt Engineering, RAG, AI Agents, and enterprise AI applications.
Basic knowledge of Python is recommended. The course is designed to help learners understand AI concepts while providing practical coding experience.
You'll gain hands-on experience with OpenAI APIs, Hugging Face, LangChain, Vector Databases (ChromaDB/Pinecone), Python, AI Agents, RAG pipelines, and modern Generative AI frameworks.
Yes. Every module includes practical exercises, assignments, mini projects, and a capstone project focused on real-world AI business applications and enterprise use cases.
Absolutely. You'll learn advanced prompt engineering techniques, AI agent development, tool integration, workflow automation, and intelligent decision-making systems.
Yes. The course covers embeddings, vector databases, semantic search, document retrieval, and RAG architectures for building accurate and context-aware AI systems.
Yes. Upon successfully completing the course requirements, you'll receive a course completion certificate that showcases your practical skills in Generative Ai.