Specialized Program in Artificial Intelligence with Autonomous Vehicle Technology

Get certified from TiHAN - IIT Hyderabad, recognized for Autonomous Vehicle Technology.
Industry Readiness: Build in-demand skills, complete real projects, and stay ahead with the latest industry trends.

Qualifier Test Date

April 12, 2026

Program Duration

6 Months

Time Commitment

8-10 Hours/week

Eligibility

12th pass and above

Learning Mode

Online

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1.3K+ students have already registered

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Official Implementation Partner:

Masai School

Why choose this course?

Gain the skills to design and manage AI-powered autonomous cars that shape tomorrow’s market.

Certification by TiHAN – IIT Hyderabad

Earn certification from TiHAN, IIT Hyderabad’s premier research hub for autonomous vehicle technology.

Expert Faculty & Industry Insights

Learn from IIT faculty, industry experts, and TiHAN scientists, bringing real-world insights to your learning journey.

Complete 15-20 hours of specialized learning in Autonomous Vehicle Technology

Gain in-depth knowledge with real-world applications across defense, agriculture and surveillance

Assured Interview at TiHAN – IIT Hyderabad (Internship)

Students with a CGPA of 9 or above will get direct interview opportunities at TiHAN, IIT Hyderabad

Campus Immersion at TiHAN, IIT Hyderabad

Join a 2-day on-campus experience at TiHAN IIT Hyderabad, exploring labs and engaging with experts.

Placement Opportunity

Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance; Fulfilled by Masai)

Certificate Eligibility Criteria: Minimum 65% overall attendance and minimum CGPA of 4.0.

What will you learn?

In the Artificial Intelligence and Machine Learning with Autonomous Vehicle Technology program from TiHAN - IIT Hyderabad, you will build a strong foundation in data science, explore core machine learning techniques, and understand ethical AI practices. Specialize in autonomous systems, focusing on perception, navigation, and real-time decision-making. Apply your learning through hands-on projects, developing intelligent solutions for real-world mobility challenges.

What will you learn?

Toolkit

Tool 1
Tool 2
Tool 3
Tool 4
Tool 5

Course Details

Duration

6 Months

Course Mode

Online

Certification

from TiHAN IIT Hyderabad

Module 1: Data Science Fundamentals and Python for AIML
  • Build confidence in core Python fundamentals such as variables, data types,conditionals, loops, functions, and file handling
  • Understand structured data, descriptive statistics, probability, and foundational data science concepts
  • Work with NumPy, Pandas, and visualization tools for data handling and interpretation
  • Develop practical data literacy through handling and exploring simple datasets
  • Build the programming and data foundations required for later AIML modules
Module 2: Core Machine Learning and Predictive Modeling
  • Understand the basics of supervised and unsupervised learning
  • Apply foundational predictive models such as Linear Regression, Logistic Regression, Decision Trees, and Random Forests
  • Work with preprocessing, feature preparation, and model-ready datasets
  • Use evaluation metrics and model comparison methods to assess performance
  • Build confidence in using machine learning methods for practical prediction tasks
Module 3: Deep Learning, Computer Vision, and Perception
  • Understand the intuition behind neural networks and how they differ from classical machine learning models
  • Build familiarity with deep learning concepts and their role in perception-oriented problems
  • Recognize the role of image data and computer vision in intelligent systems
  • Work with perception-related workflows and visual interpretation tasks
  • Connect deep learning and perception concepts to autonomous systems applications
Module 4: Machine Learning Best Practices, Model Improvement, and Deployment
  • Understand how to structure machine learning projects from problem definition to model selection and improvement
  • Recognize the impact of data quality, class imbalance, leakage, and feature preparation on model performance
  • Interpret overfitting, underfitting, generalization, and model error through practical examples
  • Build familiarity with model tuning, experiment tracking, and comparison of alternative approaches
  • Understand deployment basics, inference workflows, model monitoring, and reliability in real-world AIML systems
Module 5: Emerging AI Applications: LLMs, GenAI, and AI Agents
  • Understand the key concepts behind LLMs, Generative AI, and AI agents
  • Recognize how modern AI systems differ from classical machine learning workflows
  • Identify practical use cases of GenAI and agent-based systems across industries
  • Understand how language-based AI, perception, and decision-making connect in intelligent systems
  • Relate emerging AI applications to autonomous systems and intelligent mobility use cases
Capstone Project
  • Capstone brief: Learners will complete an applied AIML project that demonstrates their ability to work with data, apply machine learning or perception-oriented logic, and interpret an intelligent systems or autonomous vehicles use case in a structured way
  • Define a practical problem and identify relevant data or system inputs
  • Apply appropriate AIML methods using the tools and concepts learned in the program
  • Communicate outputs, limitations, and possible improvements clearly
  • Integrate an autonomous systems or intelligent mobility lens into the project framing where appropriate

Meet our Instructor Team

Arul Francis

Arul Francis

Associate Director - DS & AI

Data Science & AI expert with over 15 years of experience in discriminative and generative techniques which help attain organizational needs. Well built analytical, project management and association ...

Prof. Sukrit Gupta

Prof. Sukrit Gupta

Assistant Professor, IIT Ropar

Sukrit works at the intersection of AI and Biomedical Engineering and has previously held research positions at the Hasso Plattner Institute in Berlin and A*STAR in Singapore. He earned his PhD in Com...

Aman Yasin khan

Aman Yasin khan

AWS AI/ML Cloud Engineer, Amazon

Aman is an AI/ML Cloud Engineer at Amazon Web Services with experience in building intelligent cloud-based solutions using artificial intelligence and machine learning. He specializes in cloud computi...

Admission Process

1

Clear Qualifier Test(Online)

Clear the qualifier test to be eligible for the program

Clear Qualifier Test(Online)
2

Complete Counselling(Online)

Only shortlisted candidates go through the counselling process

Complete Counselling(Online)
3

Start Learning

Learn from India's top educators and stand out from the crowd

Start Learning

Eligibility : Must have successfully completed Class 12 (or equivalent) from a recognised board.

Qualifier Test Details

To join this program, you must clear the online qualifier test on your allotted date.

Qualifier Test
1

Test Topics

  • Logical reasoning
  • Quantitative Aptitude
  • Basic Maths
2

Registration Process

  • Pay ₹99 and choose your slot
  • Unlock free mock test and practice before your final exam
3

Things to remember

  • The duration of the test is 60 minutes
  • You can take the test only once at your allotted time & slot
  • The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.

Fee Structure

Qualifier Test Fee

(Non Refundable)

₹99

Registration Fee

(non-refundable)

Program Fee

(non-refundable)

Total Fees

Option 1

Upfront

₹4,000
₹56,000
₹60,000

(+ GST*)

Option 2

EMI (Through Our NBFC Partners)

₹4,000
₹ 7,156 x 9 months
₹68,404

(+ GST*)

18% GST extra, as applicable

Our NBFC Partners

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Who is this course for?

Shaping the future of AI and Autonomous Systems.

Kickstart your career with industry-relevant AI and ML skills focused on Autonomous Vehicle Technology.

Kickstart your career with industry-relevant AI and ML skills focused on Autonomous Vehicle Technology.

  • Build a portfolio of real-world projects such as perception systems, predictive models, and autonomous applications.
  • Gain hands-on experience in deep learning, computer vision, and sensor-based AI to solve complex mobility challenges.

Top 1% Edge

Launch your career in a high-demand field with future-ready skills in AI and autonomous systems.

How is this course different from others?

This Programme
Other programmes
Certification Value
Receive a prestigious Certificate of completion from TiHAN - IIT Hyderabad
Certifications may be generic or from less recognized institutions, offering less industry differentiation
Academic & Industry Expertise
Learn from experienced IIT faculty and industry experts, including TiHAN faculties, blending theory with practical insights
Often primarily led by faculty with limited or no current industry exposure
Student Support & Engagement
Dedicated student support, query resolution, continuous feedback, and interactive Zoom sessions
Support systems vary, often lacking personalized guidance or real-time interaction
Placement Opportunity
Placement assistance and access to hiring opportunities for eligible learners (65%+ overall attendance & 7+ CGPA; offered by Masai)
Limited or no placement support; learners manage interview preparation independently
Campus Experience
Includes a 2-day Campus Immersion at IIT Hyderabad
Typically, no on-campus immersion at premier institutions
Real-World Evaluation
Final assessment conducted offline with third-party collaboration (TCS iON)
Assessments are often online without external validation
Opportunities with TiHAN
Potential interview opportunities with TiHAN - IIT Hyderabad for top performers (CGPA 9+)
Direct opportunities with leading research hubs are generally not provided

The Future Of Artificial Intelligence and Machine Learning with Autonomous Vehicle Technology

$100 Billion

is the projected global market size for AI and ML by 2025.

Source: PwC Global AI Study
$13.6 Trillion

by 2030 is the projected global market size for automated vehicles and their ecosystem.

Source: Fortune Business Insights (2024-2030 Global Forecast)

"AI will be the most transformative technology of the 21st century. It will affect every industry and aspect of our lives"

Jensen Huang
Jensen Huang, CEO at NVIDIA.

About Tihan IIT Hyderabad

India’s first autonomous navigation testbed:

TiHAN–IIT Hyderabad is recognised as India’s first testbed for autonomous navigation systems (terrestrial and aerial) , enabling R&D across unmanned ground and aerial platforms.

Government-backed initiative:

TiHAN operates under the DST-supported National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) as a Technology Innovation Hub (TIH).

Building next-gen talent:

TiHAN supports IIT Hyderabad’s M.Tech in Smart Mobility program, designed to develop future-ready talent in smart mobility and autonomous systems.

Startup ecosystem:

TiHAN contributes to IIT Hyderabad’s deep-tech entrepreneurship ecosystem, with over 40+ startups associated with TiHAN initiatives.

Real-world deployment:

TiHAN has developed and deployed an autonomous campus shuttle as a working smart-mobility application on campus.

Industry & research collaboration:

TiHAN works with multiple stakeholders (industry and research partners) to translate autonomous-tech innovation into real deployments.

Campus Immersion at TiHAN, IIT Hyderabad

Campus Immersion at TiHAN, IIT Hyderabad

Experience a transformative two-day, on-campus immersion at TiHAN IIT Hyderabad—where learning meets real-world application.

Key Highlights

Hands-on Simulations

Apply AI and autonomous vehicle concepts in practical project scenarios

Leadership in Action

Build strategic project management skills for real-world impact

Collaborative Learning

Solve challenges with a diverse, high-caliber peer group

Expert Interaction

Engage directly with expert mentors and programme leaders

Beyond Learning

Expand Your Network

Connect with professionals across industries

Gain New Perspectives

Broaden your approach to AI and project leadership

Outcome

Practical Confidence

Turn knowledge into real-world capability

Career-Ready Skills

Return with enhanced expertise and a strong professional network

Hear from our Students

How will Masai Help you?

How will Masai help you
1

Placement Opportunities

Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance, offered by Masai)

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

Industry Integration and Projects

Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.

FAQs

Contact Us

WhatsApp us

For any queries, you can Whatsapp us at +918197292840

Email us

For any queries, you can contact us at aimld@tihaniith.in

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