PYTHON DATA SCIENCE - ML - AI, GEN AI, AWS & Power BI

  • 7 Months
  • 🏆 100% Placement assistance 🏆
Admission Fee just ₹1000
🏆 100% Placement assistance 🏆
  • Duration7 Months
  • Session Duration 2 Hours/day
  • Class Schedule Monday to Friday
  • ModeOffline/Online
  • Enrolled1800+
  • Languages & Tools12+
Show More

What you'll learn

Machine learning is a data analysis method that is used to automate analytical model building. It is a subset of Artificial Intelligence (AI) and focuses on analyzing structures and patterns in data to allow reasoning, learning, and decision-making without human interactions. In simple terms, Machine learning will let the user feed large volumes of data to a computer algorithm and make the device process the data to offer recommendations that are data-driven and decisions that are only based on the data offered.

  • Comprehensive Curriculum
  • Hands-on Learning
  • Job-Ready Skills
  • Interview Preparation
  • Networking Opportunities
  • Supportive Community
  • Lifetime Access
Show More

Course Content

  • PyCharm, Language Fundamentals, Input-Output functions, Operators, Conditional Statements, Looping, Control Statements, Functions, Modules, Packages, String, Lists, Tuple, Set, Dictionaries, File Operations, OOPS Concepts, Regular Expressions, Functional Programming, Map, Filter, list comprehension, exception handling.

  • Introduction to SQL, Installation, DDL and DML commands, aggregate functions Joins and subqueries in SQL for merging datasets. Exploratory data analysis in SQL databases and SQL-Python connectivity.

  • Introduction to Numpy, creation of arrays, operations on arrays, Pandas: Series, DataFrames, Data Preprocessing: Data cleaning, Data transformations, Grouping, Merging, Data Visualization using Matplotlib and Seaborn.

  • Types of Machine Learning models, Types of Supervised algorithms. Regression:Simple Linear Regression, Multiple Linear Regression, Evaluation of regression models. Data normalisation and Encoding. Classification:K Nearest Neighbors (KNN), Naive Bayes Classifier, Decision Tree Algorithm, Performance measures of classification algorithms, Ensemble models: XGBoost, Random Forest Algorithm,Hyperparameter tuning, cross validation

  • Introduction to Clustering Algorithms, K-Means Clustering, Elbow Method for optimal K in K-Means, Silhouette Score

  • Text processing basics:stopwords, stemming, Lemmatization, Tokenization,Vectorization(TF-IDF) , Sentiment analysis, Clustering in nlp dataset. Project file implementation using NLP.

  • Introduction to Neural network,neurons,activation functions,ANN,CNN: Layers,implementation, Transfer Learning, RNN, LSTM, OpenCV, Haar cascade classifiers, OCR, MediaPipe, Project implementation using MediaPipe, Speech to Text conversion and vice versa, YOLO, Fine tuning of Yolo models, Face recognition. Advanced Deep learning Projects

  • Introduction to Generative AI,Transformer Architecture, Attention Mechanism, Prompt Engineering, Large Language Model(LLM) ,Modern LLM Platform and Tools, Gemini, Ollama, Hugging Face models, Image generation with Stable Diffusion, RAG (Retrieval Augmented Generation):word embedding, cosine similarity, vector database, Fine-Tuning Generative models, LangChain Framework, Introduction to Agentic Ai.

  • Introduction to AWS, Amazon Identity and Access Management (IAM), Elastic Computing (EC2), Simple Storage Service (S3)

  • Introduction to Data Visualization, Introduction to Power BI, Power Query Editor – Data cleaning and Transformation. Power Pivot - Data modeling ( Star Schema implementation and Snowflake concept), DAX – Data Analysis Expressions - Aggregation, math & trig,Relationship, Filter, Date & Time, Text, Time Intelligence, Logical, Table Manipulation,...etc Functions , Scenario based application level problems Power View - Data Visualization -Presentation, Design, Demo Report and Publish, Project and Presentation.

Program Structure

  • Designed for freshers and early career professionals
  • Dedicated Program Support
  • Network with people of similar interests
  • Comprehensive curriculum and hands-on learning
  • 300+ Hours of Expert Video Content
  • Lead by Phd Holders

Dedicated Career Support

  • 1:1 mock interviews with industry experts
  • Career mentorship with industry experts
  • Access to 150+ job postings every month
  • Personalised Resume & Linkedin Review
  • Break into in-demand Data Science roles with guaranteed job opportunities

EDUCATION FOR EVERYONE

For Enquiry You Can Contact

By registering I accept the TnC and Privacy Policy of the website and give my consent to send me updates via Messages/Email *

Instructors

Student Review

5.0
Course Rating

10000+ Career Success Stories
Proven Results, Guaranteed Impact.

From classroom to boardroom - our 10000+ placement record isn't just a number, it's a testament to excellence. Our industry-aligned curriculum and dedicated career support have helped thousands land their dream jobs at top companies. Your next career breakthrough awaits.

Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
Success Story 1
certificate frontcertificate back
certificate badge

CERTIFICATION BY NATIONAL COUNCIL FOR TECHNOLOGY & TRAINING

The Course is Certified by National Council for Technology & Training. NACTET certificates have high credibility among employers in India and abroad, especially in the Middle East and other parts of the world. All certificates issued by NACTET can be attested by the Ministry of External Affairs - Govt. of India and by the embassies of almost all countries.