Applied AI Diamond Tier: Build AI Mastery
Specialize in cutting-edge AI techniques, from NLP and LLMs to scalable systems, for impactful solutions in production environments.
Next batch starts from 22th February, 2025
- Level: Advanced
- Prerequisite: Proficiency in Python, Machine Learning, and NLP Basics
- Duration: 4 Weeks
- Investment:
$3499$2799
Who This Course Is For
Data Scientists
Advanced practitioners ready to master complex AI architectures and enterprise-scale model deployment.
AI Developers
Developers aiming to excel in transformer architectures and LLM implementations for production environments.
DevOps Engineers
Infrastructure specialists focused on AI system architecture and MLOps for high-performance deployments.
What You'll Learn: Building Your Skills
Advanced A/B testing and regression analysis.
Tree-based algorithms and ensemble techniques.
Extract insights using state-of-the-art language models.
Build and deploy Retrieval-Augmented Generation (RAG) systems.
Session-Wise Curriculum: A Step-by-Step Journey
Week 1
- Introduction to Product Analytics
- Experiment Design and A/B Testing
Week 2
- Regression Analysis in Depth
- Live Hands-On Project: Credit Decisioning Systems
Week 3
- Advanced Tree-Based Algorithms
- Live Hands-On Project: Propensity Modeling
Week 4
- NLP Fundamentals, Transformers, and LLMs
- Live Hands-On Project: Building a Functional RAG System
Case Studies: Applying Your Skills
Peter England
A/B testing for product launches.
Home Credit
Develop a credit decisioning system.
Apple
Social media sentiment analysis using Twitter data.
The New York Times
Build a chatbot for interactive news delivery.
AirBNB
Predict guest booking behavior using advanced ML models.
Core Features: Boosting Your Learning
Live Interactive Classes
Engage with industry experts in real-time sessions for dynamic learning experiences.
Case Study-Driven Learning
Solve real-world problems that mirror actual industry challenges
Lifetime Access
Revisit resources, templates, and recordings anytime you need
Mentorship & Feedback
Receive personalized guidance to refine your AI journey
Professional Certification
Demonstrate your expertise with a recognized credential.
Frequently Asked Questions
Who should take this course?
This course is ideal for experienced data scientists and AI developers seeking advanced skills in NLP, LLMs, and scalable AI systems.
What advanced topics are covered in this course?
Topics include A/B testing, tree-based algorithms, NLP fundamentals, LLMs, and Retrieval-Augmented Generation (RAG) systems.
What case studies will I work on?
Case studies include sentiment analysis for Apple, credit decision systems for Home Credit, and building a chatbot for The Hindu.
Do I need experience with NLP or machine learning?
Yes, a basic understanding of machine learning and NLP concepts is recommended for this advanced course.
What outcomes can I expect?
You will gain expertise in building production-ready AI systems, solving complex business problems, and deploying advanced AI solutions.