What is AI & Machine Learning?
AI & Machine Learning is the systematic application of computer science, mathematics, and statistical principles to create intelligent systems that can learn from data, make predictions, and automate decision-making processes.
It encompasses machine learning algorithms, neural networks, deep learning architectures, and data processing techniques that enable computers to perform tasks that typically require human intelligence, from image recognition and natural language processing to autonomous decision-making and predictive analytics.
Curriculum
Curriculum Highlights
Programme &
Curriculum
Semester 1
- Professional Development & Innovation Mindset I
- Technical & Persuasive Communication Studio I
- Sustainable Systems & Environmental Intelligence
- Program Core
- Foundational Physics for Engineering Systems I
- Engineering Mathematics I: Calculus & Linear Systems
- Applied Physics & Experimental Design Lab I
- Innovation Catalyst I: Exploring Grand Challenges & Lab Immersion
- Foundation of AI & Data Engineering
- AI and Data Engineering Studio 1
- Principles of Cyber Defence & Digital Trust
- Cyber Defence Operation Lab I
Semester 2
- Professional Development & Innovation Mindset II
- Advanced Technical Communication & Collaborative Presentation Studio
- Indian Heritage & Culture
- Engineering Mathematics II: Differential Equations & Probabilistic Models
- Foundational Physics for Engineering Systems II: Electromagnetism & Modern Physics
- Applied Physics & Experimental Design Lab II
- Innovation Catalyst II: Foundational Skills & Lab Project Prototyping
- Cloud Systems & Infrastructure Essentials
- AI & ML Foundations: Statistics & Search Algorithms
- Python for AI Programming Studio
Career Impact
Applications of AI & ML
ML Ops Engineer
Architecting the infrastructure that scales AI models from local experiments to global production environments.
Deep Learning Researcher
Pushing the boundaries of neural architectures to solve complex reasoning and perception challenges.
Computer Vision Lead
Developing next-gen perception systems for autonomous vehicles, medical imaging, and smart surveillance.
AI Ethics Architect
Designing governance frameworks ensuring transparency, safety, and unbiased performance in AI systems.
Fees Structure
| Specialization Architecture | Duration | Annual Investment | Entry Threshold |
|---|---|---|---|
Major Specialization Artificial Intelligence & | 04 Years | ₹2.0L (Per Annum) | Eligibility Criteria 10+2 with Physics & Math (Compulsory) + Chem/CS/Bio. 70% Aggregrate Minimum |
Emerging Trends
The Horizon of AI
Neuro- Symbolic AI
Embodied Systems
Liquid Neural Nets
Diffusion Architectures
Edge Intelligence
Institutional Edge
An Overview
10,000+
Academic Minds
125+
Industry Alliances
40K+
Global Alumni Network
340+
Strategic Placements
42 LPA
Peak Opportunity
4.1 LPA
Mean Trajectory
45 Acre
Smart Infrastructure
10,000
Innovation Lab (Sq Ft)
AESTR @Advantages
Train for roles powering the next generation of banking, robotics, healthcare, and more—with real-world impact and future security.
Student awarded as First Google Ambassador.
Recipient of I.GAUGE E- LEAD CERTIFICATE
Benefit from credit transfer- degree programmes
Future Scope of
AI Engineering
Next-Gen Intelligence
The shift towards Artificial Intelligence and Machine Learning represents the most significant transformation in human history. As every industry—from medicine to finance—integrates intelligent agents, the demand for specialized engineers is projected to grow by 45% YoY.
Specializing in AI/ML at AESTR equips you with the fundamental architectures and ethical frameworks needed to shape the future of Autonomous Systems, Generative Models, and Cognitive Computing.
Innovation Labs
The 2030 Roadmap
Apple Ecosystem
Dive deep into Apple's ecosystem - from iOS development to machine learning integration with Core ML and Swift.
NVIDIA Pipeline
Master GPU computing and CUDA programming for high-performance AI model training and deployment.
RISC-V Lab
Explore open-source processor architecture and design custom silicon for specialized AI workloads.
Embodied Brain Lab
Bridge the gap between digital intelligence and physical robotics with embodied AI systems.
Quality Assurance
Your Pathway to Success
Core Competency Mapping
Individual skill auditing to align academic path with personal strengths.
Project Incubation
Venture-grade project development under mentorship of Shodh AI researchers.
Professional Readiness
Intensive training in technical communication and global workplace dynamics.
