Contact us

Have questions or feedback? We’d love to hear from you. Reach out to the team using the details below.

AI ALIA, Bangalore

161 10th Cross, HBR 5th Block
Bangalore, Karnataka, India – 560043
Monday – Friday, 10:00 am – 6:00 pm
Phone +91 (80) 49141386, Cell: +91 9443202391 EMail:career@aialia.com

Frequently Asked Questions

We’ve compiled answers to the questions our customers ask most often to help you get the information you need, fast.

Many popular e-learning platforms require users to be at least 13 years old to access services and often require users to be 18 or older to create a full account and enroll themselves. For younger learners (e.g., ages 13-17), a parent or guardian often needs to create the account and manage their enrollment.

You can typically enroll in an unlimited number of courses. They usually do not restrict enrollment numbers, though you pay for each one.

1. Browse Our Course Catalog

Visit the Course Catalog Page on our website to explore available AI developer programs, specializations, and bootcamps.

2. Select Your Program

Click on the specific course that interests you to view detailed information about the curriculum, prerequisites, schedule (if applicable), and fees.

3. Initiate Enrollment

On the course description page, look for the “Enroll Now” or “Register” button and click it.

4. Create/Log In to Your Account

If you are a new student, you will be prompted to create a free account using your email address, name, and a password.
If you are a returning student, simply log in with your existing credentials.

5. Complete the Application/Payment

Depending on the program (short course vs. intensive bootcamp), you may need to fill out a brief application form or proceed directly to payment.
Enter your payment details securely on our checkout page to finalize your registration.

6. Confirmation and Access

Once your registration is complete and payment is confirmed, you will receive a confirmation email with your enrollment details.
You will gain immediate access to the course materials through your Student Dashboard.

Need Assistance?

If you encounter any issues during registration or have specific questions about prerequisites, please Contact Us or refer to our FAQ section for support.

We understand that circumstances change. Our policy is designed to be fair and transparent regarding withdrawal and refunds.

If you decide to drop a class, you must formally withdraw within the specified refund window.

Our standard policy is as follows:

Full Refund Period: You are eligible for a full refund if you drop the class within [Number, e.g., 7] days of your initial registration date or before the course officially begins, whichever is later.
Partial Refund Period: If you withdraw after the full refund period but within the first [Number, e.g., 14] days of the course start date, you may be eligible for a partial refund (e.g., 50% of the tuition fee), minus any non-refundable administration fees.
After the Grace Period: No refunds are typically issued after the specified partial-refund window has passed, as your seat has been reserved and course materials accessed.

How to Officially Drop a Class:

Contact Admissions: You must notify our admissions team in writing (via email to support@aialia.com or through your Student Dashboard).
Confirmation: You will receive a confirmation once your withdrawal request has been processed.

Important Note: Simply stopping attending the class or logging in is not considered a formal withdrawal and will not trigger a refund.

Please refer to our full Terms & Conditions and Refund Policy for complete details regarding specific programs or bootcamps, as policies may vary by course length and intensity.

Here are the typical technical requirements for participating in an online AI developer training course. These requirements ensure a smooth learning experience, especially when working on computationally intensive projects.

Hardware Requirements

While some basic AI concepts can be learned on modest hardware, developing and training models requires more robust specifications:

Computer: A reliable desktop or laptop PC (Windows, macOS, or Linux). Tablets or smartphones are generally insufficient for development work.
Processor (CPU): A modern multi-core processor (e.g., Intel Core i5/i7 or AMD Ryzen 5/7 equivalent or higher) for efficient data preprocessing and task management.
Memory (RAM): A minimum of 16 GB of RAM is highly recommended for smooth operation when working with standard datasets and development environments like Jupyter Notebooks. 32 GB or more is ideal for larger-scale projects.
Graphics Card (GPU): A dedicated NVIDIA GPU is highly recommended for accelerated deep learning tasks due to compatibility with CUDA cores, which are widely used by AI frameworks like TensorFlow and PyTorch.
- Minimum: 4-6 GB of VRAM (e.g., NVIDIA GTX 1660 Ti).
- Recommended: 8 GB VRAM or more (e.g., NVIDIA RTX 3060/4050 or higher) for more complex models and larger datasets.
Storage: A Solid State Drive (SSD) is crucial for fast data loading and application performance. A minimum of 512 GB SSD is recommended, with 1 TB or more being ideal for storing large datasets and models.
Accessories: A functional webcam, microphone, and speakers/headphones for participating in live lectures and interactive sessions.

Software & Connectivity Requirements

Most of your software will be open-source and widely accessible:

Operating System: An up-to-date operating system (Windows 10/11, macOS, or a major Linux distribution like Ubuntu).
Web Browser: A modern, updated web browser (Chrome, Firefox, Safari, or Edge) for accessing the learning management system (LMS) and online resources.
Development Environment: You will typically use tools like:
- Python programming language
- Jupyter Notebooks
- Libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
- Version control systems like Git and GitHub
Connectivity: A stable, high-speed broadband internet connection is critical for seamless access to online resources, streaming video lectures, and downloading datasets. A minimum of 10 Mbps download speed is recommended.

Note: Many courses utilize cloud computing resources (like Google Colab, AWS, or Azure) to run intensive training tasks, which can offset the need for extremely high-end personal hardware.

If you need technical assistance during your AI developer training, there are several dedicated channels available to help you quickly resolve issues with the learning platform, software, or course access.

Channels for Technical Support

Here are the typical ways you can get help:

Dedicated Help Desk/IT Support: Most online training institutes have a formal IT help desk. This is usually the primary point of contact for issues like login problems, website glitches, or error messages when submitting assignments.
Live Chat/Email Support: For immediate assistance, many platforms offer 24/7 chat or email support options. This is practical for quick fixes and general troubleshooting of minor issues.
Student Dashboard/Support Portal: Within your student account area (dashboard), there is often a function to “Open a Ticket”. This allows you to formally document your problem, and a technician will respond via email or through the portal.
Discussion Forums/Community Support: Many courses have dedicated technical support forums where you can browse existing solutions or ask the community and teaching assistants for help.
Instructor/TA (Teaching Assistant): While instructors are primarily for academic questions, they often serve as a first point of contact for simple issues and can direct you to the right technical support team if the problem is more complex.
Phone Support: Some institutions provide a customer support phone number for direct, real-time assistance during business hours.

Before You Contact Support

To speed up the resolution process, it is helpful to:

Check the FAQ/Knowledge Base: The answer to your problem (e.g., “How do I upload a file?”) might be in the Frequently Asked Questions or troubleshooting guides.
Run Basic Troubleshooting:
- Ensure a stable internet connection and consider using a wired connection if possible.
- Restart your device or the specific software you are using.
- Ensure your operating system and web browser are updated.
Be Specific in Your Request: When contacting support, clearly describe the problem, what you were trying to do, and any error messages you received. Screenshots are very helpful.

Accessing your class materials is straightforward and usually occurs immediately after you have successfully enrolled and registered for the course.

Here is how you can access your online class materials:

1. Log In to Your Student Account

The primary method of access is through the institute’s website or Learning Management System (LMS).

Go to the training institute’s homepage and locate the “Login” or “Sign In” button (usually in the top-right corner).
Use the email address and password you created during the registration process to access your personal student dashboard.

2. Navigate to “My Courses” or “Dashboard”

Once logged in, you will land on your main student dashboard. This page typically displays a summary of your registered courses.

Look for sections titled “My Courses,” “Enrolled Programs,” “Dashboard,” or similar navigation links.
Click on the specific name of the AI developer course you enrolled in.

3. Access Course Modules and Resources

Clicking the course title will take you to the main classroom environment. Here, the materials are usually organized by module, week, or topic.

You can expect to find:

Video Lectures: Streamable or downloadable video content.
Reading Materials: PDF documents, articles, or links to external resources.
Assignments & Quizzes: Submission links for coursework.
Code Repositories: Access to GitHub links or project files necessary for AI development tasks.

4. Check Your Confirmation Email

After you registered, you should have received a confirmation email from the institute.

This email often contains a direct link to the course access page and sometimes includes a step-by-step guide for first-time access.

5. Troubleshooting Access Issues

If you cannot find your course materials after logging in:

Contact Support: If the problem persists, use the Technical Assistance channels mentioned previously to resolve the issue.

Verify Enrollment: Ensure your payment went through and that your registration is finalized.

Clear Cache/Use a Different Browser: Sometimes browser glitches can prevent content from loading correctly.

The cost of our AI developer training programs varies based on the depth of the curriculum, the duration of the program, the level of mentorship provided, and whether the course offers global certification and placement assistance.

We offer a range of options to fit different budgets and career goals:

Introductory/Foundational Courses:
- Focus: Basics of Python, Machine Learning fundamentals, AI overview.
- Estimated Cost: ₹5,000 to ₹22,000
- Format: Self-paced learning with foundational modules.
Professional Certification Programs (Most Popular):
- Focus: In-depth AI/ML skills, hands-on projects, expert-led training, global certification preparation, and career services support.
- Estimated Cost: ₹32,000 to ₹95,000
- Format: Structured schedules with live classes and dedicated mentor support.
Intensive Bootcamps/PG Programs:
- Focus: Comprehensive full-stack AI development, MLOps, Capstone projects, and guaranteed interview/placement support.
- Estimated Cost: ₹1,28,000 and up
- Format: Intensive, cohort-based learning with significant time commitment required.

Financial Options Available:

We understand that investing in your education is a big decision. We offer various EMI options (Equated Monthly Installments) and occasional scholarships to make our programs accessible.

For specific pricing information for the course you are interested in, please visit our Course Catalog Page or speak directly with an admissions counselor.

Payment timing depends on how you choose to enroll in the course. Generally, payment is required upfront at the time of registration to secure your spot and gain immediate access to the class materials.

Here are the specific scenarios for when you have to pay:

Standard Upfront Payment

At Registration: For most standard online classes, you must pay the full course fee when you click the “Enroll Now” or “Register” button. Your spot in the class is not confirmed until the payment transaction is successfully processed.

Alternative Payment Options

If the training institute offers flexible payment plans, the timing will be different:

EMI (Equated Monthly Installments): If you choose an installment plan, you will typically pay a down payment or the first installment immediately to enroll. Subsequent payments are then billed monthly according to a set schedule provided during checkout.
Subscription Model: If the platform uses a monthly subscription, you pay the first month’s fee immediately to gain access. Access continues as long as your monthly subscription is active and paid on time.
Employer Sponsorship/Invoice: If a company is sponsoring you, the institute may invoice the company directly. You may need to provide a voucher code or purchase order during the registration process to bypass immediate payment.

In short: Be prepared to pay when you register online, unless you have formally arranged a specific payment plan or employer sponsorship beforehand.

a variety of modern and traditional payment methods are typically accepted to provide flexibility for students. The most common and convenient options include:

Credit and Debit Cards: We accept all major international and local cards, including Visa, MasterCard, and American Express. This is a primary method for both one-time payments and recurring subscriptions.
UPI (Unified Payments Interface): As the most popular digital payment method in India, UPI allows for instant, secure bank-to-bank transfers via mobile apps (such as Google Pay, PhonePe, and BHIM) using QR codes or VPA addresses.
Digital Wallets (E-Wallets): You can pay using major digital wallets like Google Pay, Amazon Pay, and others, which offer a fast, one-click checkout experience.
Net Banking: Direct online bank transfers (NEFT/IMPS/RTGS) are accepted, which are often used for higher-value transactions or if you prefer not to use cards.
EMI Options (“Buy Now, Pay Later”): We partner with financial institutions to offer Equated Monthly Installment (EMI) plans, allowing you to spread the course fee over several months. This often includes no-cost EMI options with select partner banks.
Bank Transfers (Wire Transfers): Direct bank transfers to our institute’s account are accepted, particularly for large payments or international transactions.