AI+ Developer™

# AT-310

Master AI Development: From Fundamentals to Advanced Tools
The AI+ Developer™ certification provides a comprehensive learning path into core AI development concepts. Designed for aspiring developers, this program covers key areas like Python programming, data processing, deep learning, and algorithm optimization. Participants will gain hands-on experience in Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning, enabling them to solve real-world challenges effectively. The curriculum includes advanced modules on time series analysis, model explainability, and cloud-based deployment strategies. Upon completion, learners will hold the expertise to tackle complex AI system design and deployment, making them industry-ready.

$495.00

What’s included?

One-year subscription (with all updates):

  • High-Quality Videos and E-Book
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments and Course Resources
  • Proctored Exam With 1 Free Retake
  • Exam Study Guide
  • Hands-on labs 

Prerequisites

  • Basic Math Knowledge: High-school-level algebra and statistics are desirable.
  • Computer Science Fundamentals: Familiarity with variables, functions, loops, and data structures like lists and dictionaries.
  • Programming Skills: A foundational understanding of coding is recommended.

Exam Details

What Will You Learn?

Python Programming Proficiency
Gain a strong foundation in Python for building AI algorithms, processing data, and creating scalable AI applications.
Cloud Computing in AI Development
Explore cloud-based solutions using AWS, Google Cloud, and Microsoft Azure for deploying scalable AI systems.
Deep Learning Techniques
Master deep learning frameworks for challenges in image recognition, natural language processing, and predictive analytics.
Project Management in AI
Acquire skills to manage AI projects, including planning, resource allocation, and stakeholder communication.

Certification Modules

Certification Overview
  1. Course IntroductionPreview
Module 1: Foundations of Artificial Intelligence
  1. 1.1 Introduction to AI
  2. 1.2 Types of Artificial Intelligence
  3. 1.3 Branches of Artificial Intelligence
  4. 1.4 Applications and Business Use Cases
Module 2: Mathematical Concepts for AI
  1. 2.1 Linear Algebra
  2. 2.2 Calculus
  3. 2.3 Probability and Statistics
  4. 2.4 Discrete Mathematics
Module 3: Python for Developer
  1. 3.1 Python Fundamentals
  2. 3.2 Python Libraries
Module 4: Mastering Machine Learning
  1. 4.1 Introduction to Machine Learning
  2. 4.2 Supervised Machine Learning Algorithms
  3. 4.3 Unsupervised Machine Learning Algorithms
  4. 4.4 Model Evaluation and Selection
Module 5: Deep Learning
  1. 5.1 Neural Networks
  2. 5.2 Convolutional Neural Networks (CNNs)
  3. 5.3 Recurrent Neural Networks (RNNs)
Module 6: Computer Vision
  1. 6.1 Image Processing Basics
  2. 6.2 Object Detection
  3. 6.3 Image Segmentation
  4. 6.4 Generative Adversarial Networks (GANs)
Module 7: Natural Language Processing
  1. 7.1 Text Preprocessing and Representation
  2. 7.2 Text Classification
  3. 7.3 Named Entity Recognition (NER)
  4. 7.4 Question Answering (QA)
Module 8: Reinforcement Learning
  1. 8.1 Introduction to Reinforcement Learning
  2. 8.2 Q-Learning and Deep Q-Networks (DQNs)
  3. 8.3 Policy Gradient Methods
Module 9: Cloud Computing in AI Development
  1. 9.1 Cloud Computing for AI
  2. 9.2 Cloud-Based Machine Learning Services
Module 10: Large Language Models
  1. 10.1 Understanding LLMs
  2. 10.2 Text Generation and Translation
  3. 10.3 Question Answering and Knowledge Extraction
Module 11: Cutting-Edge AI Research
  1. 11.1 Neuro-Symbolic AI
  2. 11.2 Explainable AI (XAI)
  3. 11.3 Federated Learning
  4. 11.4 Meta-Learning and Few-Shot Learning
Module 12: AI Communication and Documentation
  1. 12.1 Communicating AI Projects
  2. 12.2 Documenting AI Systems
  3. 12.3 Ethical Considerations

Industry Opportunities after Certification Completion

Median Salaries
$77,311
With AI+ Developer™
$125,439
% Difference
62

Learner Success Stories

Recommended Certifications

Frequently Asked Questions

Upon completion, you'll 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.
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.
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.
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.
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.