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AI+ Developer

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

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  • Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning

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  • Advanced Modules: Includes time series, model explainability, and cloud deployment

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  • Industry-Ready Skills: Prepares learners to design and deploy complex AI systems

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Why This Certification Matters

  • Master Key AI Development Skills: Learn Python, deep learning, advanced concepts, and optimization techniques to build robust AI solutions.

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  • Specialize in Cutting-Edge AI Domains: Gain expertise in NLP, computer vision, or reinforcement learning, alongside data processing, exploratory analysis, and time series analysis.

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  • 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.

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  • 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.

At a Glance: Course + Exam Overview

Program Name

Included

Duration

Prerequisites

Exam Format

Delivery

Outcome

AI+ Developer

Instructor-led OR Self-paced course + Official exam + Digital badge

  • Instructor-Led: 5 days (live or virtual)

  • Self-Paced: 40 hours of content

Basic math, computer science fundamentals, fundamental programming skills

50 questions, 70% passing, 90 minutes, online proctored exam

Online labs, projects, case studies

Industry-recognized credential + hands-on experience

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Who Should Enroll?

  • Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.

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  • Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.

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  • Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.

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  • IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.

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  • Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech.

Job Roles & Industry Outlook 

Executive Leader

Oversee AI initiatives, align them with business objectives, and drive innovation across departments using AI technologies.

Chief Officer

Set AI strategy, direct implementation, and ensure alignment with business goals to enhance operations, products, and services.

Executive Director

Guide AI strategy, oversee implementation and foster collaboration across departments to support organizational goals.

Corporate Strategy Leader

Develop AI strategies aligned with corporate goals, identify AI integration opportunities and guide decision-making for businesses.

Industry Growth: Equipping Developers to Create Intelligent, Scalable Solutions

  • The 2024 Stack Overflow Developer Survey indicates that approximately 82% developers are currently using AI tools to write code.” (Statista)

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  • Designing AI-driven applications to improve system performance and solve real-world problems using advanced programming techniques.

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  • Leveraging deep learning and optimization techniques to enhance model accuracy and efficiency, leading to smarter AI solutions.

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  • Specializing in NLP, computer vision, and reinforcement learning to build sophisticated AI models tailored to various industry needs.

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  • As AI-driven development roles expand rapidly, there is a growing demand for developers with AI expertise, leading to high-paying job opportunities globally.

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What You'll Learn

Tools You'll Explore

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GitHub Copilot

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Lobe

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H2O.ai

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Snorkel

Prerequisites

  • Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.

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  • Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.

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  • A fundamental knowledge of programming skills is required.

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

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%

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts

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  • AI Mentor for Personalized Guidance

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  • Quizzes, Assessments, and Course Resources

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  • Online Proctored Exam with One Free Retake

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  • Comprehensive Exam Study Guide

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  • Access for Tablet & Phone

Instructor-Led (Live Virtual/Classroom)

  • 5 days of intensive training with live demos

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  • Real-time Q&A, peer collaboration, and hands-on labs

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  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Self-Paced Online

  • ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs

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  • Learn anywhere, anytime, with modular quizzes to track progress

Frequently Asked Questions

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