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AI+ Developer™ Self-Paced Learning V3
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Datos del curso
General
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Developer
Module 1: Foundations of Artificial Intelligence (AI)
Module 1: Foundations of Artificial Intelligence
Audio Book: Foundations of Artificial Intelligence
Podcast: Foundations of Artificial Intelligence (AI)
1.1 History
1.2 What is AI?
Activity: Timeline
1.3 Artificial Intelligence Based on Capabilities
1.4 Artificial Intelligence Based on Functionalities
Activity: Drag and Drop
1.5 Branches of AI: Method-Based and Application Based
1.6 Case Study 1: Healthcare
1.7 Case Study 2: Retail
1.8 Case Study 3: Finance
1.9 Case Study 4: Marketing
Activity: Flip card
Activity: Let's Check your Knowledge
Quiz
Module 2: Mathematical Concepts of AI
Module 2: Mathematical Concepts for AI
Audio Book: Mathematical Concepts for AI
Podcast: Mathematical Concepts of AI
2.1 Vectors, Matrices, and Their Operations
2.2 Eigenvalues, Eigenvectors, and Linear Transformations
2.3 Determinants
Activity: Carousel
2.4 Derivatives, Partial Derivatives, and Gradients
2.5 Optimization Techniques
2.6 Integration
Activity: True or False
2.7 Probability Distributions
2.8 Hypothesis Testing
2.9 Bayesian Inference
Activity: Drag and Drop
2.10 Sets and Logic
2.11 Graph Theory
2.12 Combinatorics
Activity: Text Entry
Activity: Let's Check your Knowledge
Quiz
Module 3: Python for Developer
Module 3: Python for Developer
Audio Book: Python for Developer
Podcast: Python for Developer
3.1 Getting Started with Python: History and Setup
3.1.1 Lab: Python Fundamentals: Part 1
3.1.2 Lab: Python Fundamentals: Part 2
3.2 Programming Fundamentals: Basic Syntax
3.3 Programming Fundamentals: Control Flow
3.3.1 Lab: Understanding Python Control Flow: Mastering Else, Elif, and Nested Statements.
3.3.2 Lab:Python Loops: An Iterative Solutions
3.3.3 Lab: Unlocking Python Functions: Mastering Arguments and Return Values
3.4 Programming Fundamentals: Data Structure
3.4.1 Lab: Python Data Structures: Lists, Tuples, Dictionaries, Sets, and Nested StructuresPython Data Structures: Lists, Tuples, Dictionaries, Sets, and Nested Structures
3.5 Code Organization: Modules and Packages
3.5.1 Lab: Organizing Python Code: Mastering Modules, Packages, and Namespaces
Activity: Tab
3.6 NumPy: The Numerical Workhorse
3.7 Pandas: The Data Wrangler
3.8 Matplotlib and Seaborn
3.8.1 Lab: Harnessing the Power of Python Libraries: Numpy, Pandas, Matplotlib, and Seaborn for Data Analysis and Visualization
Activity: Quiz
Activity: Let's Check your Knowledge
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
Module 4: Mastering Machine Learning
Audio Book: Mastering Machine Learning
Podcast: Mastering Machine Learning
4.1 Machine Learning: Past and Present
4.2 Scope and Types of Machine Learning
4.3 Terminologies, and Lifecycle
Activity: Hotspot
4.4 Regression and its types
4.4.1 Lab: Predicting Stock Prices Using Random Forest Regressor
4.5 Classification: Logistic Regression, Support Vector Machines, and Random Forests
4.5.1 Lab: Image Classification for Cats vs. Dogs Using Supervised Machine Learning Algorithms
4.5.2 Lab: Spam email detection
4.5.3 Lab: Sentimental Analysis
Activity: Tab
4.6 Clustering
4.6.1 Lab: Hands-on: Customer segmentation
4.6.2 Lab: Hands-on: Market Research
4.6.3 Lab: Hands-on: Anomaly Detection
4.7 Dimensionality Reduction
4.7.1 Lab: Visualizing high-dimensional data for easy analysis
Activity: True or False
4.8 Metrics and Validation for ML Models
4.8.1 Lab: Evaluating and choosing the best model for your project
Activity: Sequence
Activity: Let's Check your Knowledge
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
Module 5: Deep Learning
Audio Book: Deep Learning
Podcast: Deep Learning
5.1 Building Blocks of Artificial Neural Networks
5.2 Deep Learning Frameworks and its Applications
5.2.1 Lab: Building a Simple Neural Network to Classify Handwritten Digits
5.2.2 Lab: Image Classification for a Custom Dataset using Transfer Learning with VGG16.
Activity: Carousel
5.3 CNN: Introduction, Layers, and Architecture
Activity: Hotspot
5.4 Understanding RNNs: Architecture, LSTM, and GRU
5.5 RNNs, LSTM, and GRU: Comparison, Selection, and Applications
5.5.1 Lab: Text Generation, Sentiment Analysis, and Machine Translation using a Recurrent Neural Network
5.5.2 Lab: Sentiment Analysis using LSTM
5.5.3 Lab: Machine Translation using T5 Model
Activity: True or False
Activity: Let's Check your Knowledge
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
Module 6: Computer Vision
Audio Book: Computer Vision
Podcast: Computer Vision
6.1 Image Representation, Filtering, and Transformations
6.1.1 Lab: Image manipulation and enhancement
Activity: Drag and Drop
6.2 Object Detection: Overview, Process and Techniques
6.2.1 Lab: Implementation of YOLO for Object Detection
6.3 Region Proposal Methods
6.4 Single Shot MultiBox Detector (SSD)
6.4.1 Lab: Implementation of SSD (Single Shot MultiBox Detector) for Object Detection.
6.4.2 Lab: Object Detection using OpenCV with MobileNetV2 SSD on COCO Dataset
Activity: Carousel
6.5 Image Segmentation: Definition and Types
Activity: Text Entry
6.6 Architecture, Training, and Applications
6.6.1 Lab: Autonomous Driving with U-Net for Medical Image Segmentation
Activity: Flip card
Activity: Let's Check your Knowledge
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
Module 7: Natural Language Processing
Audio Book: Natural Language Processing
Podcast: Natural Language Processing
7.1 Natural Language Processing and Text Preprocessing and Representation
7.1.1 Lab: Cleaning and Preparing Text Data for NLP Tasks
Activity: Popup
7.2 Components and Challenges of Text Classification
7.3 Sentiment Analysis, Topic Modelling, and Spam Detection
7.3.1 Lab: Sentiment Analysis Using Naive Bayes Classifier
7.3.2 Lab: Building a Sentiment Analyzer for Social Media Posts
Activity: Multiple Choice
7.4 Named Entity Recognition: Components, Techniques, and Applications
7.5 Identifying People, Places, Organizations, etc.
7.6 Named Entity Recognition (NER) Process
Activity: Tab
7.7 BERT and T5: Transforming Question Answering in NLP
7.8 BERT Question-Answering Systems
7.9 T5 (Text-To-Text Transfer Transformer)
7.9.1 Lab: BERT Implementation for Question-Answering
7.9.2 Lab: T5 Implementation for Text Summarization
Activity: True or False
Activity: Let's Check your Knowledge
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
Module 8: Reinforcement Learning
Audio Book: Reinforcement Learning
Podcast: Reinforcement Learning
8.1 Introduction to Reinforcement Learning
8.2 Agents, Environments, Rewards, Actions, and States
8.3 Types of Reinforcement Learning (RL)
8.4 Applications for Reinforcement Learning
8.5 Challenges for Reinforcement Learning
8.6 RL vs. Supervised Learning: A Comparison and the Future of RL
8.6.1 Lab: Building a Simple Game Environment for Reinforcement Learning Experimentation.
Activity: Sequence
8.7 Introduction to Q-Learning and Deep Q-Networks (DQNs)
8.8 Value-Based RL, Q-Tables, Function Approximation
8.8.1 Lab: Deep Q-Networks (DQNs) Implementation
8.8.2 Lab: Implementation of Q-Learning Algorithm with Epsilon-Greedy Exploration Strategy.
Activity: Quiz
8.9 Policy Gradient Method: Policy-based RL
8.10 Policy Gradient Method: Reinforce Algorithm
8.11 Policy Gradient Method: Actor-Critic Methods
Activity: Tab
Activity: Let's Check your Knowledge
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
Module 9: Cloud Computing in AI Development
Audio Book: Cloud Computing in AI Development
Podcast: Cloud Computing in AI Development
9.1 Cloud and AI: Transforming Innovation and Scalability
9.2 Cloud Computing in AI: Definition and Importance
9.3 Key Cloud Service Models and Deployment Models
9.4 Benefits and Popular Platforms (AWS, Azure, GCP)
9.4.1 Lab: Simulating EC2 Instance Launch and Stock Market Data Analysis using AWS CLI and RandomForestClassifier.
9.5 Cloud-AI Integration: Scalability, Elasticity, and Case Studies of Success
9.6 Challenges and Solutions in Cloud Computing for AI Development
9.7 Use Cases and Applications of Cloud Computing in AI Development
9.8 Best Practices for Cloud-Based AI Development
9.9 Cloud-Based AI Security: Identity and Access Management (IAM)
9.10 Compliance Standards and Certifications in Cloud-Based AI
Activity: Accordion
9.11 Pre-trained Models
9.12 AutoML
Activity: Multiple Choice
Activity: Let's Check your Knowledge
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
Module 10: Large Language Models
Audio Book: Large Language Models
Podcast: Large Language Models
10.1 Key Components and Architecture
10.2 Training LLMs
10.3 Applications for LLMs
10.4 Large Language Models (LLMs) Variants
10.5 Bias and Fairness in LLMs
10.6 Privacy & security in LLMS
10.7 Requirement Resources for LLMs
10.7.1 Lab: Generating Text Using GPT-2 Language Model
Activity: True or False
10.8 Creative Text Formats and Language Translation
10.9 Multimodal Large Language Models (LLMs)
10.9.1 Lab:Generating Text Styles and Translating Languages Using Pre-trained Models
Activity: Tab
10.10 Information Retrieval and Knowledge Base Construction
Activity: Multiple Choice
Activity: Let's Check your Knowledge
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
Module 11: Cutting-Edge AI Research
Audio Book: Cutting-Edge AI Research
Podcast: Cutting-Edge AI Research
11.1 Fundamentals and Integration of Neuro-Symbolic AI
11.2 Explainable AI (XAI)
11.3 Interpreting AI Models and Building Trust
Activity: Flip card
11.4 Federated Learning: Introduction and Privacy-Preserving Collaboration
11.4.1 Lab: Federated Learning with Hybrid Symbolic-Neural Models
11.5 Meta-Learning
11.6 Few Shot Learning
11.6.1 Lab: Implementing and Evaluating a Few-Shot Learning Model using a Convolutional Neural Network (CNN)
Activity: Text Entry
Activity: Let's Check your Knowledge
Quiz
Python File Download (As Per The Lab Video)
Module 12: AI Communication and Documentation
Module 12: AI Communication and Documentation
Audio Book: AI Communication and Documentation
Podcast: AI Communication and Documentation
12.1 Presenting to Technical and Non-Technical Audiences
Activity: Flip card
12.2 Introduction to Documenting AI Systems
12.3 Code Documentation
12.4 Model Explanations
Activity: Tab
12.5 Bias, Fairness, Transparency, and Accountability
Activity: Problem Statement
Activity: Let's Check your Knowledge
Quiz
Course Summary
Course Summary
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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Información del curso
AI+ Developer™ Self-Paced Learning V3
Skill Level
:
Beginner
certificate name
:
AI+ Developer™
Badge
:
Badge_AI+-Developer.png
Course Layout
:
Standard
