Download Our Latest Course Catalog | Download Now
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Download Our Latest Course Catalog | Download Now
Get hands-on with the tools and technologies that power the AI ecosystem.
Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.
Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.
Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.
IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.
Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech.
What will I gain from completing this certification?
Upon completion, you will receive an AI+ Developer™ certification, showcasing your proficiency in AI. You’ll have the skills to tackle real-world AI challenges and implement advanced AI solutions in various domains.
Do I need any prior AI knowledge to join this course?
While prior AI knowledge is not mandatory, a fundamental understanding of Python programming and basic math and statistics will help you grasp the advanced concepts covered in this course.
Are there any hands-on projects in the course?
Yes, the course includes various hands-on projects and practical exercises to help you apply theoretical concepts to real-world scenarios, reinforcing your learning through practical experience.
Can I choose a specialization during the course?
You cannot choose a specialization in this course. However, you will be trained in areas such as Natural Language Processing (NLP), computer vision, and reinforcement learning.
How will my progress be evaluated?
Your progress will be evaluated through a combination of quizzes, hands-on exercises, and a final assessment. These evaluations are designed to test your understanding and application of the material.
Course Introduction
Module 1: Foundations of Artificial Intelligence
Introduction to AI
Types of Artificial Intelligence
Branches of Artificial Intelligence
Applications and Business Use Cases
Module 2: Mathematical Concepts for AI
Linear Algebra
Calculus
Probability and Statistics
Discrete Mathematics
Module 3: Python for Developers
Python Fundamentals
Python Libraries
Module 4: Mastering Machine Learning
Introduction to Machine Learning
Supervised Machine Learning Algorithms
Unsupervised Machine Learning Algorithms
Model Evaluation and Selection
Module 5: Deep Learning
Neural Networks
Improving Model Performance
Hands-on: Evaluating and Optimizing AI Models
Module 6: Computer Vision
Image Processing Basics
Object Detection
Image Segmentation
Generative Adversarial Networks (GANs)
Module 7: Natural Language Processing
Text Preprocessing and Representation
Text Classification
Named Entity Recognition (NER)
Question Answering (QA)
Module 8: Reinforcement Learning
Introduction to Reinforcement Learning
Q-Learning and Deep Q-Networks (DQNs)
Policy Gradient Methods
Module 9: Cloud Computing in AI Development
Cloud Computing for AI
Cloud-Based Machine Learning Services
Module 10: Large Language Models
Understanding LLMs
Text Generation and Translation
Question Answering and Knowledge Extraction
Module 11: Cutting-Edge AI Research
Neuro-Symbolic AI
Explainable AI (XAI)
Federated Learning
Meta-Learning and Few-Shot Learning
Module 12: AI Communication and Documentation
Communicating AI Projects
Documenting AI Systems
Ethical Considerations
Optional Module: AI Agents for Developers
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
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