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Generative AI AdvancedMost Popular

Advanced AI Engineering Certification

Name: Advanced AI Engineering Certification
Price: 9999 INR
Availability: InStock
Rating: 4.9 (3120 reviews)

Build, Deploy & Master Real-World AI Solutions

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14.8K learners English Updated October 2026

Taught by Aarav Mehta, Senior AI Engineer

What you'll learn

Build a strong foundation in Python and AI engineering fundamentals
Understand data science concepts and prepare data for AI applications
Apply supervised and unsupervised machine learning techniques
Build classification and regression models
Understand clustering and other machine learning approaches
Learn neural networks and deep learning fundamentals
Work with computer vision and image classification
Understand Natural Language Processing and text-based AI applications
Build and work with Large Language Models (LLMs)
Develop Generative AI applications and solutions
Understand Agentic AI, AI agents, and automation workflows
Build AI-powered assistants and intelligent applications
Work with APIs and integrate AI capabilities into applications
Learn AI deployment and cloud-based AI solutions
Build practical AI projects from concept to deployment
Create a professional AI Engineering portfolio
Complete a final capstone project demonstrating your AI skills
Develop career-ready practical AI Engineering skills

About this course

Become job-ready in AI Engineering through a structured, hands-on learning journey designed to take you from AI fundamentals to building and deploying intelligent applications. This 10-week AI Engineering Program combines 120+ hours of learning with practical assignments, live sessions, guided projects, and a final capstone. You will develop a strong foundation in Python, data science, machine learning, deep learning, Generative AI, Large Language Models, Agentic AI, APIs, cloud-based AI solutions, and AI deployment. The program progresses from fundamental concepts to advanced AI application development. You will work on practical projects such as classification, regression, clustering, computer vision, NLP, LLM applications, AI agents, automation systems, and AI-powered assistants. The program also focuses on portfolio development and career readiness, helping you demonstrate your skills through projects and a final capstone.

AI Engineering
Artificial Intelligence
Machine Learning
Deep Learning
Generative AI
Agentic AI
AI Agents
Large Language Models
LLM
Python
Data Science
Computer Vision
NLP
Natural Language Processing
AI Automation
AI Applications
AI Deployment
Cloud AI
AI Projects
Capstone Project
AI Certification
Career Ready AI
AI Developer
AI Engineer

Syllabus overview

6 modules · 120 hrs total. Full lessons are delivered inside the Hyskilled app.

Tokens, context windows, model families and how to pick the right one.

Requirements

Basic programming knowledge is recommended
Basic familiarity with computers
Basic understanding of mathematics and statistics
Logical and analytical thinking
Willingness to learn AI and build practical projects
No advanced AI or machine learning experience is required

Who this is for

Developers moving into AI engineering
Data professionals adding GenAI skills
Founders building AI-powered products

Your instructor

Aarav Mehta

Senior AI Engineer

18,400 learners
2 courses

Aarav has spent a decade shipping machine-learning products and now focuses on LLM-powered applications. He teaches with a build-first, production-minded approach.

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