Python AI Training Course Online

8 Lesson

35 Hours

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igmGuru offers online AI with Python training designed to help learners build strong skills in AI programming using Python. This comprehensive Python AI training program covers Python fundamentals, data handling with NumPy and Pandas, data visualization with Matplotlib and Seaborn, and building machine learning models using regression, classification, and clustering. You will also explore advanced topics like deep learning with CNNs and RNNs, natural language processing (NLP), and generative AI techniques such as GANs. We have successfully trained over 600 individuals globally. After completing this 35-hour Python AI certification course, you will be fully prepared to work on real-world AI projects, build and deploy machine learning models, and pursue certifications or job roles like AI Developer, Data Scientist, or Machine Learning Engineer.

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Overview

Prerequisites

Basic Python programming: variables, loops, conditionals, functions, lists/dictionaries
Math fundamentals: algebra, probability, statistics, basic linear algebra
Problem-solving mindset: logical thinking, patience, willingness to experiment
Optional: familiarity with data libraries like NumPy and Pandas

Who Should Enroll?

Aspiring AI and Machine Learning professionals
Python developers looking to specialize in AI
Data Analysts and Data Scientists
Software Engineers aiming to build intelligent applications
Students and freshers interested in AI/ML careers
IT professionals wanting to upskill in AI technologies
Business analysts working on AI-driven solutions
Entrepreneurs and tech innovators building AI products
Researchers exploring AI and machine learning projects
Professionals preparing for AI certifications

What Will You Learn

Python programming for AI applications
Data handling and manipulation using libraries like NumPy and Pandas
Data visualization techniques
Basics of machine learning algorithms
Introduction to deep learning and neural networks
Building AI models and training them on datasets
Model evaluation and performance optimization
Applying AI to real-world problems and projects

Career Opportunities After Completing Python AI Course

AI/ML Engineer
Data Scientist
Python Developer
Deep Learning Engineer
Data Analyst
Research Scientist (AI/ML)
AI Consultant
Business Intelligence (BI) Developer

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Python Programming & Data Handling

1. Data Types, Operators, Loops, Conditionals

2. Functions, Modules, Exception Handling

3. Data Structures: Lists, Tuples, Dictionaries, Sets

4. NumPy: Arrays, Operations, Matrix Manipulation

5. Pandas: DataFrames, Data Cleaning, Data Manipulation

6. File Handling: CSV, JSON

Lesson 2 - Mathematics & Statistics for AI

1. Linear Algebra: Vectors, Matrices, Eigenvalues

2. Probability: Distributions, Bayes Theorem

3. Descriptive Statistics: Mean, Median, Variance

4. Inferential Statistics: Hypothesis Testing, p-values

5. Optimization: Gradient Descent, Cost Functions

Lesson 3 - Machine Learning (ML)

1. Supervised Learning: Regression, Classification

2. Unsupervised Learning: Clustering, PCA

3. Reinforcement Learning: Q-Learning, Policy Gradients

Lesson 4 - Deep Learning & Neural Networks

1. Basics: Neural Networks, Activation Functions

2. CNNs: Image Classification, Pooling, Convolution

3. RNNs: LSTM, GRU, Time-Series Prediction

4. Transfer Learning, Fine-Tuning Pre-trained Models

Lesson 5 - Natural Language Processing (NLP)

1. Text Preprocessing: Tokenization, Lemmatization

2. Feature Extraction: TF-IDF, Word Embeddings

3. Transformers: BERT, GPT

4. Named Entity Recognition, Text Generation

Lesson 6 - Computer Vision & Image Processing

1. Image Preprocessing: Resizing, Normalization

2. CNNs for Image Classification, Transfer Learning

3. Object Detection: YOLO, SSD

4. Image Segmentation: U-Net, Mask R-CNN

Lesson 7 - Generative AI & Advanced Topics

1. GANs: Structure, Applications

2. VAEs: Image Generation

3. Multimodal Models: Text-to-Image, Cross-modal Learning

Lesson 8 - AI Model Deployment & Production

1. Model Serialization: Pickle, Joblib

2. Model Deployment: Flask/FastAPI, Cloud Deployment

3. AI in Production: Monitoring, Version Control, Scaling

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

+91 7240740740 (India)

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Course Fees

Online Class Room Program

€ 742.00

100% Money Back Guarantee

Duration : 35 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 25 Jun 2026
Weekday Batch 29 Jun 2026
Weekend Batch 27 Jun 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

Python AI Certification

We provide a course completion certificate to all learners who successfully finish the Python AI Training program. This certificate validates your expertise in key areas of Python programming, data handling, machine learning, deep learning, natural language processing (NLP), computer vision, and AI model deployment. It demonstrates your proficiency in building, training, and deploying machine learning and AI models, as well as applying Python for data analysis, visualization, and automation. By completing this course, you will have gained practical skills in using Python for AI applications and be fully prepared to take on AI and machine learning projects in real-world environments.

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Python AI Training Course Online