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

High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Certificate of Completion
LABs Practices

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

Exam Blueprint

ModulesPercentage
Foundations of Artificial Intelligence (AI)5
Mathematical Concepts for AI5
Python for AI Development 10
Mastering Machine Learning 15
Deep Learning 10
Computer Vision10
Natural Language Processing (NLP)15
Reinforcement Learning 5
Cloud Computing in AI Development10
Large Language Models (LLMs)5
Cutting-Edge AI Research5
AI Communication and Documentation 5

Self Study Materials Included

Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Labs
Interactive lab sessions to apply concepts and strengthen technical skills.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

GitHub Copilot
Lobe
H2O.ai
Snorkel

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

Course Overview
  1. Course IntroductionPreview
Module 1: Foundations of Artificial Intelligence
  1. 1.1 Introduction to AI Preview
  2. 1.2 Types of Artificial Intelligence Preview
  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 Preview
  2. 2.2 Calculus Preview
  3. 2.3 Probability and Statistics Preview
  4. 2.4 Discrete Mathematics
Module 3: Python for Developer
  1. 3.1 Python Fundamentals Preview
  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 Improving Model Performance
  3. 5.3 Hands-on: Evaluating and Optimizing AI Models
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
Optional Module: AI Agents for Developers
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

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Industry Opportunities after Certification Completion

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

Trusted Reviews by Our Learners

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Frequently Asked Questions

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.
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.
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