Applied Artificial Intelligence (AI) Course Online

9 Lesson

40 Hours

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igmGuru provides the best Applied AI Training Online worldwide and the course content is designed by certified professionals who have more than 15 years of experience in Artificial Intelligence, Machine Learning, and real-world AI implementation. In this Applied AI course, you will learn all the key topics such as AI Fundamentals, Machine Learning Algorithms, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, Model Deployment, and AI Integration with business applications. After completing this course, a person can work on real-world AI projects and gain the practical skills required to build, deploy, and manage AI-driven solutions across industries.

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Overview

Prerequisites

Basic programming knowledge
Understanding of basic mathematics
Interest in AI and problem-solving

What Will You Learn

Introduction to AI & Intelligent Machines
Mathematics for AI (linear algebra, probability, optimization)
Machine Learning Fundamentals
Classical ML Algorithms (SVM, trees, clustering, PCA)
Deep Learning & Neural Networks (PyTorch, TensorFlow)
Computer Vision (CNNs, YOLO, transfer learning)
NLP (Transformers, BERT, GPT, fine-tuning)
Generative AI & LLMs (RAG, prompt engineering, agents)
Reinforcement Learning (Q-learning, policy gradients)
AI Ethics, Bias & Governance (SHAP, EU AI Act)
MLOps & Deployment (Docker, FastAPI, MLflow)

Learning Objectives

Understand AI Fundamentals
Build ML Models
Work with Deep Learning
Apply NLP & Computer Vision
Deploy AI Systems
Navigate AI Ethics

Languages, Frameworks & Tools Covered

Python
PyTorch
TensorFlow
Scikit-Learn
HuggingFace
Jupyter
MLflow
Docker
FastAPI
AWS / GCP
LangChain
Pandas / NumPy

Key Features

Instructor Led Training : 40 Hrs
100% Money-Back Guarantee
Flexible Schedule
100% Job Assistance
Small Batches Upto 10 Participants
1 On 1 Training Option Available

Course Curriculum

Lesson 1 - Foundations of Applied Artificial Intelligence

1. What Applied AI means in real industry environments

2. Difference between AI, Machine Learning, and Applied AI

3. How companies use AI to solve business problems

4. Overview of AI use cases across industries

Lesson 2 - Programming & Data Essentials for Applied AI

1. Python fundamentals for AI development

2. Working with data structures and datasets

3. Handling, cleaning, and preparing real-world data

4. Handling, cleaning, and preparing real-world data

Lesson 3 - Mathematics for Practical AI

1. Linear algebra concepts used in AI models

2. Probability and statistics for data-driven decisions

3. Optimization basics for model performance

4. Math concepts explained through practical examples

Lesson 4 - Machine Learning for Real Applications

1. Supervised and unsupervised learning concepts

2. Regression and classification models

3. Model training, testing, and evaluation

4. Choosing the right algorithm for the right problem

Lesson 5 - Applied Deep Learning Concepts

1. Neural networks and how they work in practice

2. Deep learning workflows for modern AI systems

3. Introduction to computer vision and text-based AI

4. Understanding how large AI models are built

Lesson 6 - Working with AI Models and Real Data

1. Feature engineering for applied AI projects

2. Improving model accuracy and reliability

3. Handling bias, errors, and performance issues

4. Applying AI models to real datasets

Lesson 7 - AI-Assisted Development & Tools

1. Using AI-assisted coding and development tools

2. Productivity-focused AI workflows

3. Rapid prototyping with AI support

4. Best practices for AI-enabled software development

Lesson 8 - Building AI-Powered Applications

1. Designing end-to-end AI applications

2. Integrating AI models into applications

3. APIs and services for AI deployment

4. Testing and improving AI-driven applications

Lesson 9 - Applied AI Engineering & Deployment

1. From model to production: deployment basics

2. Monitoring AI systems in real environments

3. Scalability and performance considerations

4. Responsible and ethical AI implementation

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1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 28 May 2026
Weekday Batch 01 Jun 2026
Weekend Batch 30 May 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

Applied AI Certification

igmGuru provides a Course Completion Certificate to all learners who successfully complete the Applied AI Training. This certificate validates the learner’s understanding of applied artificial intelligence concepts, machine learning workflows, model development, deployment practices, and real-world AI applications.

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Applied Artificial Intelligence (AI) Course Online