AI & ML Course with Data Science. Industry-Focused with 100% Placement Support
Step into the world of smart technologies with Technologics Global's Artificial Intelligence & Machine Learning course — covering fundamentals of Python, ML, Deep Learning, NLP, Computer Vision, model deployment, and performance optimization. Industry-aligned curriculum with hands-on R&D projects and guaranteed placement support.
Clients Hiring from Technologics Global Finishing School
Our trained students are being hired by more than 1500 premium clients from various Domains including e, Aerospace, Defence, medical Electronics, IOT and Home Appliances . The Offered Packages range from 3.5 LPA to 25 LPA, Based on the competency of our students demonstrated at their final round of client Assessment. Majority of our clients use online hiring system for their first round of assessment followed by F2F Technical & HR rounds. Success rate of TECHNOLOGICS Best Embedded training students solely depends on 85% of Coding Skill and rest on aptitude & MCQ.
Recognized Across the Industry
From UL Solutions and NASSCOM endorsements to MoUs with leading engineering colleges — the milestones that mark our work in industrial automation training.
Awards & MoUs — tap to view
Real-World AI & Machine Learning Projects
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Countries We've Executed Projects In
Our AI and machine learning engineers have delivered computer vision and automation projects across the globe.
India
United States
UAE
Saudi Arabia
Qatar
Turkey
Germany
Mexico
Malaysia
Ethiopia
AI and ML Course OVERVIEW
Fundamentals of Python Programming
Introduction to Python & IDE setup Data types, operators, conditionals, loops Functions, modules, and packages Working with libraries: NumPy , Pandas , Matplotlib File handling & data manipulation
Database Management Systems (DBMS)
Introduction to Databases & DBMS concepts Data models and schemas SQL Basics : SELECT, INSERT, UPDATE, DELETE Advanced SQL : Joins, Subqueries, Views, Indexes, Transactions Normalization & ER Diagrams NoSQL Databases (MongoDB Basics) Python connectivity with databases
Data Analytics & Visualization
Data collection and preprocessing Data cleaning & transformation Data visualization using Matplotlib , Seaborn , Power BI / Tableau (intro) Exploratory Data Analysis (EDA) Feature engineering and correlation analysis
Statistics & Mathematics for AI/ML
Descriptive & inferential statistics Probability & distributions Linear algebra and calculus basics Hypothesis testing and p-values Correlation, covariance, and regression analysis
Machine Learning (ML)
Linear & Logistic Regression Decision Trees, Random Forests, SVM K-Nearest Neighbors (KNN) Naïve Bayes Classification
Artificial Intelligence (AI)
Introduction to AI & its applications Search algorithms (BFS, DFS, A*) Knowledge representation & reasoning Expert systems basics Introduction to Neural Networks & Deep Learning Overview of Computer Vision & NLP applications
Course At A Glance
Everything you need to know about the program, certification, and placement support — at a glance.
What You Will Learn
The fundamentals of Artificial Intelligence, Machine Learning and Data Science
How to build and train intelligent systems using Python
Techniques in Deep Learning, NLP and Computer Vision
Data handling, model deployment and performance optimization
Application of AI in Automation, IOT and Industrial R&D Projects
Technologics Global
JP Nagar, Bengaluru
Based on 1,400+ authentic reviews from engineering students and professionals worldwide.
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Review Us on GoogleWhat Our Students Say About Us
Kesava Uppuluru
6 months ago
“clear and straight forward, excellent starting session . thankyou sir”
Jeferin Banu
6 months ago
“I was a part of embedded system online batch, the classes of C programming and everyday coding sessions strengthened my basics, I got highly valuable practical exposure and individual attention throughout the course. Recommended for anyone looking to build a career in ECE!”
Prakruthi Gs
6 months ago
“Great institute! Supportive trainers and good hands-on learning experience. Helped me improve my technical skills. Highly recommended for ECE and Electrical engineering students.”
AM
6 months ago
“This course was highly practical. The hands-on projects, hardware kits, and standard industrial software tools gave me the exact skills needed for automotive jobs.”
Suhas Gowda
2 months ago
“Technologics is the absolute best place for PLC SCADA and Industrial Automation training. The laboratory has high-end PLCs (Siemens, Allen Bradley) and the trainers guide you step-by-step in ladder programming and HMI integration.”
Megha Sharma
3 months ago
“Highly professional training institute. I joined for NASSCOM IoT course and the curriculum was highly structured. The placement assistance is excellent, they helped me prepare for core interviews and get placed in a top engineering firm.”
Nikhil R
4 months ago
“Excellent vectorCAST and safety-critical testing course. The hands-on exposure to diagnostic protocols, static and dynamic analysis is top-tier. Helped me transition into an automotive engineer role easily.”
Divya Bharathi
5 months ago
“The LabVIEW and Building Management Systems (IBMS) training was phenomenal. The practical sessions on HVAC simulation, fire alarm systems, and control logic design were extremely detailed and structured. Thanks to the whole faculty!”
Student Journeys
Placement Success Stories
When aspiring to become a skilled AI professional, selecting the best AI and ML course in Bangalore is of paramount importance. At TECHNOLOGICS, we take pride in being the top choice for individuals seeking comprehensive training in AI and ML course. Our institute has established itself as the best AI and ML training institute in Bangalore, offering a diverse range of courses designed to cater to the needs of both beginners and experienced professionals.
Our institute's reputation as the best AI and ML training institute in Bangalore is further bolstered by our cutting-edge curriculum. We continuously update our course materials to keep pace with the rapidly evolving technology landscape, ensuring that our students are equipped with the most up-to-date skills and knowledge.
What you get with us
- 100% Placement Assistance Track record Till Date
- Fully Equipped Updated Software and Hardware facility
- Industrial experienced faculties
- New generation Hardware
- FREE Soft Skills Training
- 100% Hands-On Practical Oriented Training
- Career Guidance & Mentorship
- Individual Focus
- Real-Time Project Exposure
- Frequent accessibility to Industrial leadership
India's Top Campuses Invite Us to Teach
From Bangalore Institute of Technology to SRM University AP and King Faisal Air Academy, Riyadh — hands-on workshops, guest lectures and campus placement drives.
Campus Workshops — tap to view
Best AI and ML course in Bangalore
Training by Industrial Experts
A dedicated Industrial Trainer from the pool of 30+ R&D Engineers as accountability coach from TECHNOLOGICS Research Lab.
Accrediated Certificate
Our Offline Python Course with placements is endorsed by Govt of India. Get Skill India Level-5 Certification .
Excellence in Technology Skilling
Daily Live Master Class followed by Technical Discussion, Assignments, Coding practice powered by dedicated coding Leaders. Industrial level of weekly assessment with target score of 85% and above.
Get Globally Recoginized
Enjoy excellent peer-to-peer learning environment. Learn from physical interaction with fellow students.
Genuine Job Placements
Dedicated HR along with Industry Coach to Empower the Candidates facing Real-Time Industrial Interview, Unlimited Interview opportunities for every candidates with 85% and above Internal Score
Industry Specific Trade Skills
Our Training content is Designed by Engineering team of TECHNOLOGICS Research Lab which is also vetted by Multiple Automotive Aerospace & Defense Clients.
Syllabus-In Detail
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Module 1: Python Programming
- Python setup and installation
- Data types: int, float, string, boolean
- Variables, Operators, Expressions
- Control structures: if, if-else, elif
- Loops: for, while, break, continue
- Functions, Lambda, Map/Reduce/Filter
- Data structures: Lists, Tuples, Sets, Dictionaries
- File handling, Exception handling
- Object-Oriented Programming (Classes, Inheritance)
- Modules and Libraries
- List/Dictionary Comprehensions
- Decorators, Iterators, Generators
Module 2: Statistics & Probability
- Descriptive Statistics: mean, median, mode, std, range
- Inferential Statistics: population vs sample
- Probability rules: independent/dependent events
- Distributions: Normal, Binomial, Poisson
- Hypothesis Testing (t-test, ANOVA, Chi-square)
- Confidence Intervals, p-values, z-scores
- A/B Testing & Experimental Design
- Central Limit Theorem
- Correlation & Covariance
Module 3: Linear Algebra & Optimization
- Scalars, Vectors, Matrices
- Matrix operations (addition, multiplication, transpose)
- Determinant, Inverse, Eigenvalues & Eigenvectors
- Gradient Descent and Cost Functions
- Learning rate, Convex vs Non-convex optimization
Module 4: Data Handling with NumPy & Pandas
- NumPy arrays, array indexing, broadcasting
- Matrix operations with NumPy
- Pandas Series & DataFrame creation
- Reading/writing CSV, Excel, JSON
- Data inspection: .head(), .info(), .describe()
- Data cleaning: missing values, duplicates
- GroupBy, Merge, Join, Concatenate
Module 5: Data Visualization (Python)
- Matplotlib: line, bar, pie, histogram, scatter
- Plot customization: titles, labels, legends
- Subplots and multi-axes plots
- Seaborn: heatmaps, pairplots, violin plots, box plots
- Advanced plots: FacetGrid, jointplot
Module 6: SQL
- SQL: SELECT, WHERE, GROUP BY, HAVING
- Joins: INNER, OUTER, LEFT, RIGHT
- Subqueries and Aggregate Functions
- DDL, DML, DCL statements
Module 7: MongoDB
- MongoDB: collections, documents, CRUD operations
- Indexing and querying in NoSQL
Module 8: Git & Version Control
- Version control basics and need
- Git: init, add, commit, status, log
- GitHub setup and repository management
- Branching, Merging, Resolving conflicts
- Reverting and resetting commits
- Collaborating in teams using GitHub/Bitbucket
Module 9: Exploratory Data Analysis (EDA)
- Data distributions and statistical summaries
- Outlier analysis and treatment
- Missing value imputation techniques
- Correlation matrix and heatmaps
- Feature identification and data patterns
Module 10: Machine Learning Basics
- Supervised vs Unsupervised Learning
- ML pipeline and data preprocessing
- Classification, Regression, Clustering
- Model training, testing, validation
- Evaluation metrics: accuracy, precision, recall, F1
Module 11: Machine Learning Algorithms
- Linear Regression & Logistic Regression
- K-Means Clustering
Module 12: Ensemble Learning
- Bagging, Boosting, Voting Classifier
- Random Forest
- Gradient Boosting, XGBoost, LightGBM
- Hyperparameter tuning (GridSearch, RandomSearch)
Module 13: Feature Engineering
- Encoding: One-hot, Label Encoding
- Normalization and Standardization
- Feature selection methods
- Creating new features
- Outlier treatment
- Pipelines and transformers in Scikit-learn
Module 14: Time Series Forecasting
- Time series components: trend, seasonality
- Stationarity, autocorrelation, ACF, PACF
- ARIMA, SARIMA models
- Forecast accuracy metrics
- Time series project using Python
Module 15: Deep Learning & Neural Network
- Neural network structure: layers, weights, activation
- Forward & Backward propagation
- Activation functions: ReLU, Sigmoid, Tanh, Softmax
- TensorFlow & Keras for neural networks
- Loss functions and optimizers (SGD, Adam)
Module 16: Natural Language Processing (NLP)
- Text preprocessing: Tokenization, Lemmatization
- TF-IDF, Bag of Words, Word2Vec, GloVe
- Text classification using Naive Bayes, SVM
- Sentiment analysis
- Sequence models: RNN, LSTM
- Transformers, BERT, GPT overview
Module 17: Computer Vision
- Image basics and preprocessing
- Convolutional Neural Networks (CNN)
- Object Detection: YOLO, RCNN, SSD
- Transfer Learning using pre-trained models
- OpenCV basics
Module 18: Model Deployment
- Flask basics: API, routing, endpoints
- Deploying models as REST APIs
- Streamlit dashboard creation
- Docker basics for containerization
- Introduction to AWS, Azure, GCP
Module 19: Power BI for Data Analytics
- Connecting data sources (Excel, SQL, Web)
- Creating dashboards, slicers, filters
- Using Power Query for data transformation
- DAX functions: SUMX, CALCULATE, IF
- Reports and publishing to Power BI Service
Module 20: Tableau for Business Intelligence
- Tableau workspace and user interface
- Connecting to data sources
- Creating visualizations: bar, line, scatter, maps
- Parameters, Filters, Calculated Fields
- Dashboard creation and sharing
Module 21: Reinforcement Learning
- Markov Decision Processes (MDP)
- Q-Learning, SARSA
- Deep Q Networks (DQN)
- OpenAI Gym environments
Module 22: Generative AI & Prompt Engineering
- GANs: architecture and training
- Introduction to Transformers, GPT
- Prompt design for LLMs (ChatGPT, BERT)
- Applications: image generation, text summarization
- Building chatbot with HuggingFace APIs
Capstone Projects & Features
- Minimum 5 Capstone Projects (ML, NLP, CV, BI, DL)
- 1 Client/Live Project (applicable only if there is any ongoing projects)
- 1st time in India !!! Experience hands-on learning through real-world industrial projects.
- Genuine Placement with upto 25LPA Package | Record of 5 to 10 Clients Hiring per week
- Dedicated HR & Accountability coach to track your daily and weekly Performance
Train on Real Industrial Hardware
ABB AC 700F DCS, Siemens, Schneider, Allen-Bradley and Delta PLCs, a Bangalore Metro SCADA panel and a live BMS — the automation lab our candidates learn on.
Our Automation Labs — tap to view
Visit Our Research Lab
Launch Your Smart Tech Career
If you're searching for the Best AI and ML Course in Bangalore, look no further than TECHNOLOGICS. Join us today to kickstart your journey towards a successful and rewarding career in python. Register now
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