AI+ Developer™
- Assess your skills before enrolling
Get hands-on with the tools and technologies that power the AI ecosystem.
- Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design
- Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning
- Advanced Modules: Includes time series, model explainability, and cloud deployment
- Industry-Ready Skills: Prepares learners to design and deploy complex AI systems
- Master Key AI Development Skills: Learn Python, deep learning, advanced concepts, and optimization techniques to build robust AI solutions.
- Specialize in Cutting-Edge AI Domains: Gain expertise in NLP, computer vision, or reinforcement learning, alongside data processing, exploratory analysis, and time series analysis.
- Stay Ahead in AI Development: AI is transforming industries, and organizations seek developers with strong proficiency in deploying AI models to solve real-world problems.
- Advance Your Career in AI Development: With growing demand across tech, finance, and healthcare sectors, this certification positions you as a leader in AI-driven development.
Course Curriculum
Module 1: Foundations of Artificial Intelligence
Module 2: Mathematical Concepts for AI
Module 3: Python for Developer
Module 4: Mastering Machine Learning
Module 5: Deep Learning
Module 6: Computer Vision
Module 7: Natural Language Processing
Module 8: Reinforcement Learning
Module 9: Cloud Computing in AI Development
Module 10: Large Language Models
Module 11: Cutting-Edge AI Research
Module 12: AI Communication and Documentation
Optional Module: AI Agents for Developers
Job Roles & Industry Outlook
Al Solutions Architect
Design and implement Al systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
Al Application Developer
Build, design, and maintain Al- driven applications that solve real- world problems, integrating Al technologies for enhanced functionality.
Al System Programmers
Develop and maintain Al systems, including programming algorithms and software components that enable intelligent behavior in machines and applications.
Al Machine Learning Developer
Design, implement, and optimize algorithms and models to enable systems to learn from data and make predictions or decisions.
Exam Information
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates.
Certification exam.
One exam re-take.
Exam Blueprint:
Foundations of Artificial Intelligence (AI) - 5%
Mathematical Concepts for AI - 5%
Python for AI Development - 10%
Mastering Machine Learning - 15%
Deep Learning - 10%
Computer Vision - 10%
Natural Language Processing (NLP) - 15%
Reinforcement Learning - 5%
Cloud Computing in AI Development - 10%
Large Language Models (LLMs) - 5%
Cutting-Edge AI Research - 5%
AI Communication and Documentation - 5%
Explore our Schedules
Oct 4 - Oct 8
GMT 09:00 AM - 05:00 PM
In-person
Doha
Sep 27 - Oct 1
GMT 09:00 AM - 05:00 PM
In-person
Dubai
Oct 4 - Oct 8
GMT 09:00 AM - 05:00 PM
In-person
Muscat
Jun 14 - Jun 25
GMT 06:00 PM- 10:00 PM
LVT
Zoom
Aug 30 - Sep 7
GMT 06:00 PM- 10:00 PM
LVT
Zoom
Nov 6 - Nov 17
GMT 06:00 PM - 10:00 PM
LVT
Zoom
Certificate of Completion
AI+ Developer.
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