What you'll learn:
- You will learn the core concepts in Machine learning and Deep Learning
- How to code and access data stored in a cloud environment
- You will learn the core algorithms in ML: Linear Regression, Logistic Regression, Decision Tree, Random Forest
- You will also learn about unsupervised learning
- What is Explainer AI and why its important
- You will master deep learning concepts and algorithms
- What is a tensor and how it is helpful in deep learning
- What are the linear algebra concepts relevant to Machine Learning and Deep Learning
- How to go about a ML project
- Python programming (for those who don't know python)
- What is AutoML and how to use Vertex AI to deploy Machine learning algorithms
- Unsupervised deep learning algorithms
Course Description
Stay ahead in the world of AI - ML with this completely updated course covering
. Machine Learning
. Deep Learning
. Large Language Models (LLMs)
. Retrieval-Augmented Generation (RAG)
. AI Agents
. Explainable AI (XAI)
. AutoML using Google Vertex AI
This is a hands-on course, designed for active learning. You are encouraged to practice along with the trainer during sessions or immediately after each lecture to build real, practical skills.
The content is organized into 21 manageable days, allowing you to learn systematically without feeling overwhelmed. Whether you're a beginner or an experienced professional, you can start from the basics or jump straight to the advanced sections that interest you most.
The course is taught by an industry veteran and founder of an AI startup, bringing real-world insights and project-based learning to every module.
Running successfully for the past three years, the course has been regularly refreshed to reflect the latest advancements — including cutting-edge topics like Explainable AI, AutoML on Google Vertex, RAG pipelines, and AI Agent frameworks.
If you’re looking for a complete, modern, and industry-focused AI learning experience — this is your perfect starting point.
Enroll today and build the AI expertise the future demands!
What you’ll learn:
Build a strong foundation in Machine Learning and Deep Learning concepts
Understand and fine-tune Large Language Models (LLMs) for various applications
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Explore and create AI Agents
Apply Explainable AI (XAI) techniques to build trust in model predictions
Use AutoML with Google Vertex AI to automate and accelerate model building
Develop hands-on projects with real-world datasets across ML, DL, and LLM use cases
Stay updated with the latest AI trends and future directions
