Download Our Latest Course Catalog | Download Now
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Download Our Latest Course Catalog | Download Now
Data teams increasingly need faster ways to collect, prepare, analyze, and act on information.
AI+ Data Agent Specialty explores how intelligent data agents can automate these tasks and support real-time decision-making. You’ll work with data collection, preprocessing, machine learning, no-code tools, and responsible AI practices.
AI data agents can collect information, process it, and support decisions with less manual effort. This course introduces how these agents work and how they fit into modern AI systems.
You’ll explore data collection methods, data preparation, feature engineering, and machine learning models used by data agents. The course also covers privacy, security, ethics, and responsible deployment.
Hands-on activities use no-code tools, making the course accessible without requiring traditional programming experience. The final capstone brings these skills together through an automated data analysis workflow.
Familiarity with data collection, cleaning, and preprocessing is helpful but not mandatory
No prior coding experience is required
Basic understanding of data science concepts is recommended
Interest in AI agents and data-driven decision-making
Willingness to learn no-code AI tools and autonomous data workflows
Data analysts, engineers, and data science professionals exploring AI automation
AI enthusiasts interested in intelligent data agents
Business professionals looking to automate data processing and analysis
Technology professionals exploring predictive analytics and autonomous systems
No-code learners who want to build AI-powered data workflows
Professionals interested in real-time, data-driven decision-making
1. Do I need coding experience to build AI data agents in this course?
No, the course includes hands-on work with no-code tools, so prior programming experience is not required.
2. What types of data skills will I develop?
You’ll cover data collection, cleaning, preprocessing, feature engineering, model selection, and techniques for preparing information for AI-driven workflows.
3. Can the course be taken online?
Yes, the course is available through live virtual instructor-led training or a self-paced online option.
4. Is in-person training available?
Yes, classroom sessions are available through AI CERTs Authorized Training Partners.
Module 2: Data Agents and Their Role in AI Systems
Module 3: Data Collection and Acquisition for AI Data Agents
Module 4: Data Pre-processing and Feature Engineering
Module 5: AI and Machine Learning Models for Data Agents
Module 6: AI in Compliance & Ethics
Module 7: Capstone Project
At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:
Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.
Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.
Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.
These options are designed to make the registration process as smooth and flexible as possible for all participants.
Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.
Guaranteed on Next Booking – The course will proceed once an additional student registers.
Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.
Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.
At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.
The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.
Testimonials
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