Artificial Intelligence Developer Program: Foundational Concepts & Practical Implementation

Master foundational AI concepts, essential data processing, machine learning algorithms, and practical NLP techniques, all within a 12-hour intensive program designed for tech professionals new to AI.
...

by Pushkal Shukla

I'm an Electronics and Communication Engineering graduate with a background in FPGA-based CNN acceleration and core machine learning. My experience spans computer vision applications, including real-time gesture recognition and autonomous lane detection, and I've developed recommendation engines and contributed to ASR model development.

Foundations of AI and Big Data

Unit 1: Introduction to AI & Big Data

Unit 2: AI & Big Data in Action

Data Processing and Analytics Essentials

Unit 1: Fundamentals of Data Processing

Unit 2: Practical Data Preprocessing with Python

AI on the Cloud

Unit 1: Cloud Computing Fundamentals for AI

Unit 2: AI Services in the Cloud

Unit 3: Practical Cloud AI Experience

Unit 4: Big Data and AI on the Cloud

Unit 5: Future and Ethics of Cloud AI

Feature Engineering and Selection

Unit 1: Fundamentals of Feature Selection

Unit 2: Filter Methods for Feature Selection

Unit 3: Wrapper Methods for Feature Selection

Unit 4: Embedded Methods and Advanced Techniques

Python for Machine Learning

Unit 1: Python Fundamentals for AI

Unit 2: Data Handling with NumPy & Pandas

Unit 3: Data Preprocessing & EDA

Supervised Learning: Regression and Classification

Unit 1: Introduction to Supervised Learning

Unit 2: Linear Regression

Unit 3: Logistic Regression

Unit 4: Core Classification Algorithms

Unit 5: Model Evaluation for Classification

Ensemble Methods and Model Optimization

Unit 1: Ensemble Learning Fundamentals

Unit 2: Advanced Classification Techniques

Unit 3: Model Optimization and Evaluation

Unit 4: Real-World Applications and Deployment

Unsupervised Learning: Clustering and Dimensionality Reduction

Unit 1: Unsupervised Learning Fundamentals

Unit 2: Dimensionality Reduction

Unit 3: Advanced Topics & Applications

Data Visualization for Machine Learning

Unit 1: Foundations of Data Visualization

Unit 2: Basic Plotting Techniques

Unit 3: Advanced Plotting Techniques

Unit 4: Interactive & Geospatial Visualization

Natural Language Processing (NLP) Fundamentals

Unit 1: Introduction to NLP

Unit 2: Text Analysis & Representation

Unit 3: Word & Document Embeddings

Text Classification and Advanced NLP

Unit 1: Text Classification Fundamentals

Unit 2: Advanced NLP Techniques

Unit 3: Contextual Embeddings & Text Similarity

Building and Deploying AI-based Chatbots

Unit 1: Chatbot Fundamentals

Unit 2: Building Blocks of AI Chatbots

Unit 3: Training and Advanced Techniques

Unit 4: Deployment and Ethical AI