What are the different modes of training that Intellipaat provides?

At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.

Can I request for a support session if I need to better understand the topics?

Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.

Can you explain the benefits of the Intellipaat self-paced training?

Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.

What kind of projects are included as part of the training?

Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.

Does Intellipaat offer job assistance?

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.

Is it possible to switch from self-paced training to instructor-led training?

You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.

How are Intellipaat verified certificates awarded?

Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.

Does the Job Assistance Program guarantee me of getting a Job?

Apparently, No. Our Job Assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and assists you in finding a well-paid job, matching your profile. The final decision on your hiring will always be based on your performance in the interview and the requirements of the recruiter.

Are real-world projects part of the curriculum?

Yes, right from the start. The program is built around applied learning. In Year 1, you’ll work on hands-on assignments and case studies guided by industry experts. In Year 2, you’ll take it further at Aivancity with advanced projects using tools like Python, SQL, machine learning, and cloud platforms. Everything leads up to a final capstone that solves a real business challenge.

How flexible is the program for working professionals?

The first year is fully online and built to work around your schedule. Live sessions come with recordings, and projects can be done at your own pace with mentor support. In the second year, you transition to a full-time on-campus experience in France, where you can focus entirely on your final coursework and capstone. This format allows you to keep your career moving while building toward a master’s degree.

Will I get support for placements and interviews?

You’ll get personalized guidance from Intellipaat’s expert team, including resume reviews, mock interviews, and one-on-one mentorship tailored to roles in analytics and data science.

Are there quizzes, tests, or any formal assessments?

Yes. Assessments are built into every stage of the program. You’ll take weekly quizzes, complete coding challenges, and go through midterm exams and checkpoints that test both your technical depth and problem-solving skills. It all leads up to a capstone that ties everything together.

Is a final project part of the program?

Absolutely. The capstone is a core part of your learning journey. You’ll tackle a real business challenge using real data, applying the full range of AI tools and methods you’ve learned.

Will I get feedback on my assignments?

Yes. Feedback is a core part of how the program works. Faculty and mentors review your work, provide detailed input, and guide your improvements at every step. You’ll also have access to live support sessions and regular check-ins to stay on track.

Is there a refund if I change my mind after enrolling?

No. Once you enroll and confirm your spot, the fee is non-refundable. Make sure all your questions are answered before signing up. We’re here to help you understand everything clearly.

Are there any extra costs beyond tuition?

Your tuition covers all academic components, including classes, tools, projects, and certifications. For the second year in France, you’ll need to manage your travel, visa, accommodation, and living expenses. These aren’t covered, but we’ll support you through the planning.

How many hours a week should I commit to this course?

Set aside 6-8 hours a week. That covers live sessions, recorded content, readings, assignments, and project work. The schedule is designed to accommodate your job or other full-time commitments.

Can I take a break and resume the course later?

Yes. You can request a temporary break in your studies. Deferral or academic leave is possible during both the online and on-campus phases, but it needs formal approval and depends on the policies of Aivancity and EU Global.

Is there a time limit to complete the full program?

Yes, you’ll need to complete each program within 12 months and the entire program in 12 months. This includes whichever learning path you choose, whether you continue online or shift to the campus in France. All live sessions, project work, exams, and final submissions must be completed within this timeframe.

Can I attend the program from outside India?

Yes, you can join from anywhere in the world. The program is designed for Indian and global learners. The online format gives you full access to live interactive classes, assignments, and peer collaboration. If you opt for the on-campus pathway, you’ll need to relocate to France for the final part. If not, you can continue online and still graduate with the same degree.

What kind of support will I receive throughout the program?

You’ll have 24/7 access to Intellipaat’s support team via chat, email, phone, and WhatsApp. Whether it’s a doubt in class content, help with assignments, or a tech issue, you’ll get fast responses from academic managers and subject experts. In addition, you’ll have: Scheduled check-ins from learning mentors Academic progress tracking and nudges to stay on pace Personalized guidance from faculty and industry mentors during live sessions This support system ensures you’re never stuck and always moving forward confidently.

Will I get one-on-one mentorship or only group sessions?

In addition to group classes, you’ll have access to one-on-one career coaching and academic support. This includes resume reviews, mock interviews, and personalized guidance from mentors familiar with global analytics roles.

Is technical support available during live classes?

Yes. A dedicated support team is available during every live class to assist with any tech issues, so your learning is never disrupted.

M.Sc. in Artificial Intelligence Engineering From EU Global and Aivancity

Curriculum

Live Course

Year 1 – Post Graduate Diploma in Data Science & AI 100% Online

Python Programming (18 Hours | 2 Credits)

Data types, conditionals, functions, file handling
NumPy, Pandas basics for analysis
Data cleaning and simple scripts

R Programming (18 Hours | 2 Credits)

Vectors, lists, and data frames in R
Data wrangling with dplyr, tidyr
Writing reusable analysis scripts

Data Visualization with R (18 Hours | 2 Credits)

ggplot2 for plots and charts
Visual aesthetics and layout techniques
Interactive dashboards with Shiny

Data Acquisition, Storage & Analysis (18 Hours | 2 Credits)

Connecting to APIs and databases
Flat files, SQL, NoSQL intro
Cleaning and analyzing retrieved data

Time-Series Analysis (18 Hours | 2 Credits)

Trends, seasonality, and forecasting
ARIMA, exponential smoothing
Real-life time series applications

Machine Learning (24 Hours | 4 Credits)

Regression, classification, clustering
Training/testing splits, overfitting
Model evaluation and real-world use

Data Analysis (24 Hours | 4 Credits)

Exploratory data analysis (EDA)
Correlation, distributions, and insights
Data summaries and feature patterns

Cloud Computing (24 Hours | 4 Credits)

AWS/GCP fundamentals and tools
Storage, compute, networking in the cloud
Hands-on with cloud console and services

DevOps (24 Hours | 4 Credits)

Git, Docker, Kubernetes basics
CI/CD pipelines and automation
Managing deployments and scaling

Essential Mathematics for AI & Data Science (24 Hours | 4 Credits)

Linear algebra and matrix ops
Probability basics, calculus overview
Math foundations behind ML algorithms

Statistics for AI & Data Science (24 Hours | 4 Credits)

Descriptive and inferential statistics
Probability distributions and sampling
Hypothesis testing, CLT

Mathematical Foundations for Deep Learning (24 Hours | 4 Credits)

Derivatives, gradient descent
Backpropagation and chain rule
Mathematical intuition behind networks

Natural Language Processing (24 Hours | 3 Credits)

Text cleaning and tokenization
Word embeddings and sentiment analysis
Simple NLP models and evaluation

Deep Learning: Methods and Applications (24 Hours | 3 Credits)

Neural network design and training
CNNs for image, RNNs for sequences
Deep learning in industry

Advanced Data Analysis and Visualization (24 Hours | 3 Credits)

Multivariate analysis and dashboards
Interactive visual storytelling
Data transformation and advanced plotting

Generative AI (18 Hours | 2 Credits)

Large language models and GPT
Image and text generation basics
Ethics and risks of GenAI

The Future of Artificial Intelligence (18 Hours | 2 Credits)

Trends in AI and automation
Societal impact and tech forecasting
Policy, innovation, and frontier use

Java, Programming, Design, Modeling (18 Hours | 2 Credits)

OOP concepts in Java
UML diagrams and system modeling
Java programming for design logic

Business Intelligence and Data Management (12 Hours | 2 Credits)

Data pipelines and warehousing
BI dashboards and reporting tools
KPI design and business metrics

Artificial Intelligence: Laws and Regulations (18 Hours | 2 Credits)

Legal frameworks for AI
GDPR, algorithmic bias, and explainability
Ethics, compliance, and governance

Year 2 – Aivancity (France Campus)

UE 1 – Applied Deep Learning and AI Deployment (12 ECTS)

Build and deploy end-to-end AI solutions using modern tools and techniques.

Machine Learning Business Projects (3 ECTS)
Apply AI to real-world scenarios and evaluate outcomes based on business KPIs.
Natural Language Processing (3 ECTS)
Extract, process, and analyze textual and voice data for automation and insight.
Advanced Data Analysis and Visualization (3 ECTS)
Develop analytical dashboards, apply statistical models, and create compelling visual narratives.

Build and deploy end-to-end AI solutions using modern tools and techniques.

Machine Learning Business Projects 3 ECTS
Apply AI to real-world scenarios and evaluate outcomes based on business KPIs.
Natural Language Processing 3 ECTS
Extract, process, and analyze textual and voice data for automation and insight.
Advanced Data Analysis and Visualization 3 ECTS
Develop analytical dashboards, apply statistical models, and create compelling visual narratives.
Deployment and Maintenance of AI Models (3 ECTS)
Train, deploy, and monitor AI pipelines, and prepare for the Azure Data Scientist Associate certification.

UE 2 – Business Management (Choose 4 Courses)

72 hours | 10 ECTS

Understand the strategic and operational role of AI across industries.

Supply Chain Management & Smart Operations (3 ECTS)
Explore how AI optimizes logistics, demand planning, and resource allocation.
Business Strategy and Digital Transformation (2 ECTS)
Understand how AI enables agility and innovation in evolving business models.
Management of Digital Systems (2 ECTS)
Learn to manage information systems and digital infrastructure in AI projects.
AI & Data Science for Marketing (3 ECTS)
Use AI to drive segmentation, targeting, campaign optimization, and customer insights.
AI Project Management (2 ECTS)
Gain practical tools for leading cross-functional AI teams and agile workflows.
Venture Capital (3 ECTS)
Discover how investors assess and finance AI startups and products.

UE 3 – AI, Ethics & Society (12 ECTS)

Address the ethical, legal, and social dimensions of AI technologies.

Data Anonymization (3 ECTS)
Learn to protect personal data while preserving analytical value in AI pipelines.
FairML (3 ECTS)
Analyze and mitigate algorithmic bias in AI-driven decision systems.
Robustness (3 ECTS)
Build AI models that are resilient to data drift, attacks, and performance degradation.
XAI: Explainable Artificial Intelligence (3 ECTS)
Develop interpretable models and justify AI outcomes to stakeholders and regulators.

UE 4 – Develop a Responsible and Strategic Vision for AI (Choose 2 Courses) (6 ECTS)

Shape the long-term impact of AI across sectors and ecosystems. Each course is 3 ECTS.

Structuring and Management of an AI Project
Learn to scope, structure, and deliver high-impact AI projects end-to-end.
Generative AI
Understand how models like GPT and diffusion systems are transforming creativity and automation.
Cybersecurity and Artificial Intelligence
Explore the intersection of AI and cybersecurity in protecting systems and data.
Artificial Intelligence of Things (AIoT)
Apply AI in connected device ecosystems for automation and smart environments.
Evolution of AI Law: Practical Cases
Study key legal precedents and upcoming regulations governing AI use.
Green Artificial Intelligence
Design environmentally sustainable AI systems and measure their carbon impact.
Artificial Intelligence and Human-Machine Interaction
Build interfaces that enhance usability, trust, and cooperation between humans and AI.
Change Management
Learn to navigate organizational transformation driven by AI integration.
Data-Driven Business Models
Design scalable business models rooted in data and algorithmic advantage.
The Future of Artificial Intelligence
Forecast emerging trends and evaluate their economic and social impact.
AI-Powered Customer Relationship Management
Leverage AI to personalize customer experiences and automate engagement.
Industrial AI
Apply AI in manufacturing, supply chains, and robotics for Industry 4.0.
AI in Agriculture
Use AI for precision farming, yield optimization, and environmental monitoring.
AI for Health
Understand the role of AI in diagnostics, treatment planning, and health data analysis.
AI in Finance
Analyze risk, detect fraud, and power fintech innovations using machine learning.
AI for Marketing
Automate customer insights, recommendation systems, and campaign strategies with AI.

UE 5 – Projects & Personal Development (20 ECTS)

Bridge academic learning with hands-on consulting and career coaching.

AI Clinic (12 ECTS)
Solve live business problems through collaborative team-based consulting engagements.
Career Coaching (Pass/Fail)
Get resume support, personal branding, and one-on-one guidance for job preparation.
Final Project (8 ECTS)
Build and present a comprehensive AI solution aligned with your internship or domain of interest.
Internship (3 to 4 months)
Gain work experience in AI roles across industries. (Non-credited but mandatory)

Disclaimer

Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

FAQs

About the course

Is the Aivancity MSc in AI Engineering & Data Science suitable for beginners?

Yes, the Aivancity MSc in AI Engineering & Data Science is suitable for beginners with a strong academic background. It starts with foundational concepts and gradually builds expertise in AI, machine learning, and data science, making it ideal for graduates or early professionals entering the AI field.

What programming knowledge do I need to start this course?

You just need a basic understanding of Python and logical thinking. If you are from a non-tech background, this course starts with core concepts, making it suitable for you to learn.

How is this course different from other online MS Artificial Intelligence Engineering degrees?

Unlike typical online AI programs, this MS by Aivancity and EU Global offers 50% on-campus training in France, a 6-month paid internship, and eligibility for a 2-year post-study work visa. It combines academic rigor with real-world AI engineering skills, global exposure, and strong European job market integration.

Is it more focused on AI Engineering & Data Science, or general-purpose Python?

The MS in AI Engineering & Data Science by Aivancity and EU Global integrates Data Science with AI system design. It covers data preprocessing, analysis, visualization, and pipeline automation, ensuring students can manage, interpret, and use data effectively to train and deploy AI models in real-world applications.