Retrieval Augmented Generation

Retrieval Augmented Generation Crafting the Perfect Instructions for AI Excellence

Artificial Intelligence is revolutionizing industries, but the key to unlocking its true potential lies in Prompt Engineering – the skill of crafting effective, context-rich instructions for AI models. Our Prompt Engineering Training program is designed to help professionals, creators, and businesses harness AI tools like ChatGPT, Midjourney, and more with precision and creativity.

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Who Can Benefit from This Training?

AI/ML engineers

Data scientists

Chatbot and application developers

Businesses aiming to deploy AI with real-time data access

Why Choose Our RAG Training?

Industry-led curriculum with practical case studies
Real-world applications in customer service, research, and enterprise AI
Step-by-step guidance from AI specialists
Certificate of completion to validate your skills

AI for Developers

Artificial Intelligence (AI) has moved beyond theory to become a key driver of innovation in software development. For developers, AI is not just a tool—it’s a way to enhance applications, create intelligent systems, and solve complex problems that were previously impossible or inefficient.

Syllabus + Projects

Month 1: AI & Machine Learning Foundations
- Month 2: Deep Learning & Neural Networks
- Month 3: NLP, AI Tools & Deployment
By the end of this 3-month program, developers will be able to:
- Build AI/ML models using Python
- Work with deep learning frameworks (TensorFlow, PyTorch)
- Apply AI to real-world problems in NLP, CV, and predictive analytics
- Deploy AI models as web applications or APIs
- Complete a full AI project from scratch

Syllabus + Project

Month 1: Python & Programming Foundations for AI
- Month 2: Mathematics for AI & Data Handling
- Month 3: Machine Learning Fundamentals
- Month 4: Deep Learning & Neural Networks
- Month 5: Natural Language Processing (NLP) & Advanced AI
- Month 6: AI Model Deployment & Capstone Project
Learning Outcomes:
By the end of 6 months, Developers will Learn & Execute:
- Master Python programming for AI applications
- Implement machine learning and deep learning algorithms
- Work on NLP and computer vision projects
- Deploy AI solutions in real-world applications
- Build and present a full-scale capstone project

Syllabus + Project

Month 1-2: Foundations & Programming for AI
Month 3-4: Machine Learning Fundamentals
Month 5-6: Advanced Machine Learning & Feature Engineering
Month 7-8: Deep Learning & Neural Networks
Month 9: Natural Language Processing (NLP)
Month 10: Reinforcement Learning & AI Applications
Month 11: AI Deployment & Cloud Integration
Month 12: Capstone Project

Training Formats Available

We offer flexible training formats classroom, live online, or self-paced designed to fit your schedule while ensuring quality and convenience.

Online Live Classes

Self Paced Learning

Corporate Workshops

Certification

• Industry-Recognized Credential – Receive a Prompt Engineering Pro Certificate upon successful completion of the course.
• Career Advantage – Showcase your expertise to potential employers and enhance your professional credibility.
• Skill Validation – The certificate validates your hands-on learning, practical projects, and mastery of prompt engineering concepts.
• Shareable Achievement – Add your certification to LinkedIn, resume, or portfolio to stand out in the job market.

What You’ll Master

RAG Fundamentals

Understand the architecture and workflow of Retrieval Augmented Generation.

Data Integration

Learn to connect AI models with structured and unstructured knowledge bases.

Prompt Engineering for RAG

Craft retrieval-aware prompts for higher accuracy.

Implementation

Hands-on projects integrating RAG with platforms like LangChain, OpenAI, and Vector Databases (Pinecone, Weaviate, Milvus).

Optimization & Evaluation

Fine-tune RAG systems for speed, relevance, and reliability.