Download Our Latest Course Catalog | Download Now
[woo_multi_currency_layout10]
Download Our Latest Course Catalog | Download Now
This advanced certification equips software engineers with the skills to design, build, and deploy AI-powered systems across real-world environments. You’ll go deep into neural networks, LLMs, generative models, GUIs, NLP, and deployment pipelines using modern tools like Hugging Face, TensorFlow, and PyTorch.
Whether you’re optimizing complex systems or building scalable AI apps, this course gives you the tools to lead innovation from code to deployment.
AI is redefining how engineers approach development, from smarter automation to human-like interfaces. This course covers AI architecture, deep learning, natural language models, generative AI, and transfer learning. You’ll build GUIs for AI systems, set up deployment pipelines, and gain clarity on ethics, fairness, and responsible design.
Each module is hands-on, designed for engineers ready to move beyond theory into high-performance, production-ready AI.
Completion of AI+ Developer certification
Strong interest in solving problems using AI
Basic understanding of AI concepts and frameworks
Curiosity and willingness to work with modern tools and systems
Software engineers and developers upgrading their AI skills
Data scientists and analysts looking to build production-grade AI solutions
Tech entrepreneurs and innovators building AI-driven products
Aspiring AI developers seeking structured guidance and certification
1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.
2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.
3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.
4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.
Course Overview
Course Introduction
Module 1: Foundations of Artificial Intelligence
Introduction to AI
Core Concepts and Techniques in AI
Ethical Considerations
Module 2: Introduction to AI Architecture
Overview of AI and its Various Applications
Introduction to AI Architecture
Understanding the AI Development Lifecycle
Hands-on: Setting up a Basic AI Environment
Module 3: Fundamentals of Neural Networks
Basics of Neural Networks
Activation Functions and Their Role
Backpropagation and Optimization Algorithms
Hands-on: Building a Simple Neural Network Using a Deep Learning Framework
Module 4: Applications of Neural Networks
Introduction to Neural Networks in Image Processing
Neural Networks for Sequential Data
Practical Implementation of Neural Networks
Module 5: Significance of Large Language Models (LLMs)
Exploring Large Language Models
Popular Large Language Models
Practical Finetuning of Language Models
Hands-on: Practical Finetuning for Text Classification
Module 6: Application of Generative AI
Introduction to Generative Adversarial Networks (GANs)
Applications of Variational Autoencoders (VAEs)
Generating Realistic Data Using Generative Models
Hands-on: Implementing Generative Models for Image Synthesis
Module 7: Natural Language Processing
NLP in Real-world Scenarios
Attention Mechanisms and Practical Use of Transformers
In-depth Understanding of BERT for Practical NLP Tasks
Hands-on: Building Practical NLP Pipelines with Pretrained Models
Module 8: Transfer Learning with Hugging Face
Overview of Transfer Learning in AI
Transfer Learning Strategies and Techniques
Hands-on: Implementing Transfer Learning with Hugging Face Models for Various Tasks
Module 9: Crafting Sophisticated GUIs for AI Solutions
Overview of GUI-based AI Applications
Web-based Framework
Desktop Application Framework
Module 10: AI Communication and Deployment Pipeline
Communicating AI Results Effectively to Non-Technical Stakeholders
Building a Deployment Pipeline for AI Models
Developing Prototypes Based on Client Requirements
Hands-on: Deployment
Optional Module: AI Agents for Engineering
Understanding AI Agents
Case Studies
Hands-on Practice with AI Agents
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
Thanks for registering. Our training team will be in touch soon to confirm your class schedule and help you get started.
