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AI+ Developer™ Self-Paced Learning
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Introduction
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Lab Instructions
Audio Book: Introduction AI+ Developer
Module 1: Foundations of Artificial Intelligence
1.0 Introduction: Foundations of Artificial Intelligence
1.1 What is AI?
1.2 Artificial Intelligence Based on Capabilities
1.3 Artificial Intelligence Based on Functionalities
1.4 Method Based - Machine Learning, Deep Learning, Fuzzy Logic, Generative AI
1.5 Application Based - Computer Vision, NLP, Robotics, Expert Systems
1.6 Summary: Foundations of Artificial Intelligence
Module 1: Foundations of Artificial Intelligence
Audio Book: Foundations of Artificial Intelligence
Quiz
Module 2: Mathematical Concepts for AI
2.0 Introduction: Mathematical Concepts for AI
2.1 Vectors and Matrices: Basics and Operations
2.2 Eigenvalues, Eigenvectors, and Linear Transformations
2.3 Determinants
2.4 Probability Distributions
2.5 Hypothesis Testing
2.6 Bayesian Inference
2.7 Summary: Mathematical Concepts for AI
Module 2: Mathematical Concepts for AI
Audio Book: Mathematical Concepts for AI
Quiz
Module 3: Python for Developer
3.0 Introduction: Python for Developer
3.1 Installing Anaconda for Python
3.2 Basic Syntax
3.3 Control Flow
3.4 Data Structures
3.5 Summary: Python for Developer
Module 3: Python for Developer
Audio Book: Python for Developer
Quiz
Lab Practice 3.1
Lab Practice 3.2
Lab Practice 3.3
Lab Practice 3.4
Lab Practice 3.5
Lab Practice 3.6
Lab Practice 3.7
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 4: Mastering Machine Learning
4.0 Introduction: Mastering Machine Learning
4.1 Understanding Machine Learning
4.2 Types of Machine Learning
4.3 Regression
4.4 Stock Prediction and Classification Techniques
4.5 K-Means and Hierarchical Clustering Overview
4.6 Dimensionality Reduction
4.7 Summary: Mastering Machine Learning
Module 4: Mastering Machine Learning
Audio Book: Mastering Machine Learning
Quiz
Lab Practice 4.1
Lab Practice 4.2
Lab Practice 4.3
Lab Practice 4.4
Lab Practice 4.5
Lab Practice 4.6
Lab Practice 4.7
Lab Practice 4.8
Lab Practice 4.9
Lab Practice 4.10
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 5: Deep Learning
5.0 Introduction: Deep Learning
5.1 Essentials of Deep Learning: Theory and Frameworks
5.2 Deep Learning Applications and Case Studies
5.3 Significance of Perceptron
5.4 Significance of Activation Functions
5.5 Feed Forward Networks
5.6 Deep Learning Frameworks
5.7 Summary: Deep Learning
Module 5: Deep Learning
Audio Book: Deep Learning
Quiz
Lab Practice 5.1
Lab Practice 5.2
Lab Practice 5.3
Lab Practice 5.4
Lab Practice 5.5
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 6: Computer Vision
6.0 Introduction: Computer Vision
6.1 Introduction to Image Processing: Basics and Techniques
6.2 Object Detection Process
6.3 Object Detection Techniques
6.4 Region Proposal Methods
6.5 Types of Image Segmentation
6.6 Techniques for Image Segmentation
6.7 Applications of Image Segmentation
6.8 U-Net
6.9 Summary: Computer Vision
Module 6: Computer Vision
Audio Book: Computer Vision
Quiz
Lab Practice 6.1
Lab Practice 6.2
Lab Practice 6.3
Lab Practice 6.4
Lab Practice 6.5
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 7: Natural Language Processing
7.0 Introduction: Natural Language Processing
7.1 Text Preprocessing and Representation.
7.2 Key Components of Text Classification and Its Challenges
7.3 Summary: Natural Language Processing
Module 7: Natural Language Processing
Audio Book: Natural Language Processing
Quiz
Lab Practice 7.1
Lab Practice 7.2
Lab Practice 7.3
Lab Practice 7.4
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 8: Reinforcement Learning
8.0 Introduction: Reinforcement Learning
8.1 Key Components of Reinforcement Learning Include
8.2 Agents, Environments, Rewards, Actions, and States
8.3 Applications for Reinforcement Learning
8.4 Summary: Reinforcement Learning
Module 8: Reinforcement Learning
Audio Book: Reinforcement Learning
Quiz
Lab Practice 8.1
Lab Practice 8.2
Lab Practice 8.3
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 9: Cloud Computing in AI Development
9.0 Introduction: Cloud Computing in AI Development
9.1 Definition of Cloud Computing
9.2 Importance of Cloud Computing in AI
9.3 Integration of Cloud and AI
9.4 Challenges and Solutions in Cloud Computing for AI Development
9.5 Summary: Cloud Computing in AI Development
Module 9: Cloud Computing in AI Development
Audio Book: Cloud Computing in AI Development
Quiz
Lab Practice 9.1 - AWS Version
Lab Practice 9.1 - Azure version
Lab Practice 9.1 - GCP Version
Lab Practice 9.2 - AWS Version
Lab Practice 9.2 - Azure Version
Lab Practice 9.2 - GCP Version
Python File Download (As Per The Lab Video)
Module 10: Large Language Models
10.0 Introduction: Large Language Models
10.1 Architecture of Large Language Models (LLMs)
10.2 Training LLMs
10.3 Applications for LLMs
10.4 Bias and Fairness in Large Language Models (LLMs)
10.5 Requirement Resources for LLMs
10.6 Summary: Large Language Models
Module 10: Large Language Models
Audio Book: Large Language Models
Quiz
Lab Practice 10.1
Lab Practice 10.2
Lab Practice 10.3
Python File Download (As Per The Lab Practices)
Python File Download (As Per The Lab Video)
Module 11: Cutting-Edge AI Research
11.0 Introduction: Cutting-Edge AI Research
11.1 Fundamentals of Neuro-Symbolic AI
11.2 Symbolic Reasoning
11.3 Combining Symbolic Reasoning and Deep Learning
11.4 Introduction to Federated Learning
11.5 Importance of Federated Learning
11.6 Meta Learning
11.7 Few-Shot Learning
11.8 Summary: Cutting-Edge AI Research
Module 11: Cutting-Edge AI Research
Audio Book: Cutting-Edge AI Research
Quiz
Python File Download (As Per The Lab Video)
Module 12: AI Communication and Documentation
12.0 Introduction: AI Communication and Documentation
12.1 AI Communication and Documentation
12.2 Objectives of AI Communication and Documentation
12.3 Presenting to Technical and Non-Technical Audiences
12.4 Summary: AI Communication and Documentation
Module 12: AI Communication and Documentation
Audio Book: AI Communication and Documentation
Quiz
Additional Module - AI Agents For Developer
AI Agent Developer
Resources
AI+ Developer Blueprint
AI+ Developer Detailed Curriculum
AI+ Developer Tools
AI+ Developer Reference Videos and Links
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Developer Examination
AI+ Developer Examination
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AI+ Developer™ Self-Paced Learning
