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Artificial Intelligence

Build on machine learning fundamentals with Natural Language Processing and Generative AI.

PythonMachine LearningNeural NetworksNLPGenerative AIHugging Face
About This Course

Artificial Intelligence

This course covers the same strong machine learning foundation as our ML program, then extends into Natural Language Processing and Generative AI — including how tools like ChatGPT and DALL-E actually work.

Course Curriculum

1
Python Foundations
Python internals and architecture, Anaconda/Jupyter setup, and core data types.
2
Files & Data Structures in Python
Reading/writing files, lists, tuples, sets, and dictionaries.
3
Loops & Conditionals
If/elif/else conditions and for/while loops.
4
NumPy & Pandas
Array-based analysis with NumPy and data manipulation with Pandas.
5
Data Visualization
Matplotlib and Seaborn for exploring and presenting data.
6
Statistical Thinking
Central tendency, dispersion, and IQR-based statistics.
7
Supervised & Unsupervised Learning
Classification, regression, and linear regression metrics.
8
Logistic Regression
Theory, metrics, and hands-on practice.
9
Data Preprocessing
Standardization, normalization, missing values, outliers, and feature scaling.
10
Tree-Based Models
Decision trees, bagging, boosting, and random forests.
11
Neural Network Fundamentals
Core concepts behind modern deep learning models, with a hands-on project.
12
Basics of NLP
Natural language processing using NLTK, Spacy, Gensim, and FastText.
13
Basics of Generative AI
How generative AI works, Hugging Face, models behind DALL-E, ChatGPT, and Bard, and real-world use cases.
Career Outcomes

After Completing This Course

🎯AI/ML Trainee
🎯NLP Engineer (Junior)
🎯Data Scientist

Course Details

Fee₹4,999
Duration32–38 Hrs
ModeClassroom & Online
EligibilityAny graduate, basic Python knowledge helpful
CertificateYes, on completion
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