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AI & Machine Learning
Fundamentals

A comprehensive 4-month program designed to take you from zero to job-ready. Build real ML models, master Python for AI, and graduate with a portfolio that gets you hired.

4 Months
Beginner Friendly
Live + Recorded
Placement Support
ISO Certified
๐Ÿš€ Enroll Now
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๐Ÿ“ˆ Industry Demand for These Skills
Python & Data Science96%
Machine Learning91%
Model Deployment84%
NLP & Neural Networks88%
โฑ4 Months ยท 3 hrs/day
๐ŸŒOnline + Offline (Calicut / palakkad)
๐ŸŽ“ISO Certified Certificate
๐Ÿ’ผ100% Placement Assistance
๐Ÿค1-on-1 Mentorship Included
Enquire on WhatsApp โ†’
4
Months Training
12+
Modules
8+
Live Projects
95%
Placement Rate
2000+
Students Trained
Course Overview

Why this course is different

4
Months
Intensive Training
12+
Modules
Structured Learning
8+
Live Projects
Real-World Builds
95%
Placement Rate
Industry Connections

We teach what employers actually look for

Most AI courses dump theory on you and leave you stranded. At Techolas, we flip the script. Every concept is immediately applied to a real problem โ€” so by week 4, you're already building your first ML model, not just reading about it.

Our trainers are active industry professionals from Infosys, Wipro, and TCS โ€” not full-time academics. They teach what actually gets you hired, not what looks good on a syllabus.

You'll graduate with a project portfolio, an ISO-certified certificate, mock interview training, and a dedicated placement team working for you. This isn't just a course โ€” it's a career launchpad.

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Learn by BuildingEvery module ends with a hands-on project โ€” no passive watching
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Industry TrainersLearn from professionals who use these tools daily at top companies
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Portfolio-FirstGraduate with 8+ projects to show recruiters and stand out
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Dedicated Placement CellResume review, mock interviews, job referrals โ€” all included
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Lifetime Community AccessJoin 2000+ alumni network for jobs, projects and mentorship
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AI-Powered Interview PrepOur custom platform gives personalized feedback on your answers
Who Should Join

This course is built for you ifโ€ฆ

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Fresh Graduates

Just finished college and want to break into AI without any prior experience. Perfect starting point.

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Working Professionals

Already employed but want to upskill and shift into AI-focused roles with better salaries and growth.

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Software Developers

Know how to code and want to add ML superpowers to become a highly valued AI engineer.

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Data Analysts

Already working with data but want to level up from dashboards to predictive models and AI.

๐Ÿข

Entrepreneurs & Managers

Want to understand AI to make smarter business decisions and lead AI initiatives at your company.

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Career Switchers

From any background โ€” engineering, commerce, science, arts โ€” ready to make the leap into tech.

Full Syllabus

What you'll learn

12 structured modules covering everything from Python basics to deploying your first ML model in production.

01
Python for AI & Data Science
2 weeks ยท 8 topics
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Python setup & environment (Jupyter, Colab)
Data types, loops, functions & OOP basics
NumPy: arrays, broadcasting, operations
Pandas: DataFrames, merging, groupby, pivot
Matplotlib & Seaborn: visualizations
Data cleaning & preprocessing techniques
File handling: CSV, JSON, Excel
Mini Project: EDA on Real Dataset
02
Mathematics for Machine Learning
1.5 weeks ยท 6 topics
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Linear algebra: vectors, matrices, operations
Calculus: derivatives, gradients, chain rule
Probability: distributions, Bayes theorem
Statistics: mean, variance, hypothesis testing
Optimization: gradient descent intuition
Practical applications in ML context
03
Introduction to Machine Learning
2 weeks ยท 7 topics
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What is ML? Supervised, Unsupervised, RL
ML pipeline: data to model to prediction
Train/test split & cross-validation
Overfitting, underfitting, bias-variance tradeoff
Evaluation metrics: accuracy, F1, ROC-AUC
Scikit-learn workflow & API
Mini Project: Build your first ML model
04
Supervised Learning Algorithms
2.5 weeks ยท 9 topics
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Linear & Polynomial Regression
Logistic Regression for Classification
Decision Trees & Random Forests
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Naive Bayes Classifier
Gradient Boosting: XGBoost, LightGBM
Hyperparameter tuning & GridSearchCV
Project: House Price & Loan Default Prediction
05
Unsupervised Learning
1.5 weeks ยท 6 topics
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K-Means & Hierarchical Clustering
DBSCAN: density-based clustering
PCA: dimensionality reduction
t-SNE for high-dimensional visualization
Anomaly detection techniques
Project: Customer Segmentation
06
Feature Engineering & Data Pipelines
1.5 weeks ยท 5 topics
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Feature scaling: normalization, standardization
Encoding: one-hot, label, target encoding
Handling missing data & outliers
Feature selection techniques
Sklearn Pipeline & ColumnTransformer
07
Introduction to Neural Networks
2 weeks ยท 7 topics
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Perceptron and biological inspiration
Feedforward networks & backpropagation
Activation functions: ReLU, sigmoid, softmax
Loss functions & optimizers (SGD, Adam)
Keras / TensorFlow basics
Regularization: dropout, batch normalization
Project: Handwritten Digit Classifier (MNIST)
08
NLP Basics
1.5 weeks ยท 6 topics
โ–ผ
Text preprocessing: tokenization, stemming, lemmatization
Bag of Words & TF-IDF
Word embeddings: Word2Vec, GloVe
Sentiment analysis pipeline
Text classification workflow
Project: Movie Review Sentiment Classifier
09
Time Series & Forecasting
1.5 weeks ยท 5 topics
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Time series components: trend & seasonality
ARIMA & SARIMA models
Facebook Prophet for forecasting
ML-based time series (XGBoost approach)
Project: Stock Price Trend Forecasting
10
Model Evaluation & Optimization
1 week ยท 5 topics
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Confusion matrix & classification report
ROC curve & PR curve analysis
Cross-validation strategies
Ensemble methods: stacking, bagging
AutoML & model selection techniques
11
Model Deployment with Flask & Streamlit
1.5 weeks ยท 6 topics
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Saving & loading models: Pickle, Joblib
Building REST APIs with Flask
Streamlit for rapid ML dashboards
Deploying to Render / Railway cloud
Intro to Docker for ML
Project: Deploy a live prediction app
12
Capstone Project & Career Prep
3 weeks ยท Full project
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End-to-end ML project from scratch
GitHub portfolio setup & documentation
Resume & LinkedIn optimization
Mock interviews with industry experts
AI-powered interview practice platform
Job referral to our 100+ hiring partners

๐Ÿ›  Tools You'll Master

PythonNumPyPandas Scikit-learnMatplotlibTensorFlow KerasXGBoostFlask StreamlitJupyterGoogle Colab GitHubDocker

๐Ÿ“ฆ What's Included

โœ…300+ hours of content
โœ…8+ hands-on projects
โœ…Lifetime recordings access
โœ…ISO Certified Certificate
โœ…Placement assistance
โœ…Mock interview sessions
โœ…Resume & LinkedIn review
โœ…Community access (lifetime)
โœ…AI interview prep platform
๐Ÿ’ฌ WhatsApp to Enroll
Skills & Outcomes

Skills you'll graduate with

Every skill mapped to what employers actually look for in AI/ML job descriptions.

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Python for Data ScienceWrite efficient, clean data pipelines and analysis scripts confidently
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Data Analysis & EDAExplore, clean, and draw meaningful insights from messy real datasets
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Supervised ML ModelsBuild and tune regression, classification, and ensemble models
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Unsupervised LearningDiscover hidden patterns with clustering & dimensionality reduction
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Neural Networks BasicsUnderstand and build ANN models using Keras and TensorFlow
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NLP FundamentalsProcess text data and build sentiment and text classification models
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Time Series ForecastingPredict trends with ARIMA, Prophet, and ML-based approaches
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Model DeploymentDeploy models as live web apps using Flask and Streamlit
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GitHub PortfolioPublish clean, documented projects that genuinely impress recruiters
Hands-On Projects

8+ Real Projects you'll build

Not toy examples โ€” projects that solve real problems and go straight into your portfolio.

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House Price Predictor

Predict property prices using regression models trained on location, size, and amenity data.

Regression ยท Scikit-learn
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Loan Default Classifier

Build a binary classifier to predict whether a loan applicant will default โ€” with 90%+ accuracy.

Classification ยท XGBoost
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Customer Segmentation

Cluster e-commerce customers by behavior to help businesses personalize marketing campaigns.

K-Means ยท Unsupervised
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Sentiment Analyzer

Classify movie reviews as positive or negative using NLP and machine learning pipelines.

NLP ยท TF-IDF
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Stock Trend Forecaster

Forecast short-term stock price trends using time series models and historical data.

ARIMA ยท Prophet
โœ๏ธ

Digit Recognition App

Build and deploy a live app that recognizes handwritten digits using a neural network.

Neural Net ยท Keras
Career Outcomes

Jobs you'll be ready for

Our graduates land roles at top companies across India and abroad.

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ML Engineer

Build and maintain ML models in production systems

6 โ€“ 18 LPA
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Data Scientist

Analyze data and build predictive models for business decisions

7 โ€“ 20 LPA
๐Ÿ”

Data Analyst (AI)

Use ML tools to extract and communicate insights from data

4 โ€“ 12 LPA
๐Ÿ’ผ

AI Product Analyst

Bridge the gap between AI capabilities and product requirements

5 โ€“ 14 LPA
Our Students Work At

Placed at Top Companies

2000+ students trained. Hired at leading companies across India and abroad.

Why Choose Us

Why Techolas is Kerala's #1

6+ years perfecting what it takes to get students hired โ€” not just trained.

01
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Industry Expert Trainers

Our instructors work at top tech firms and bring real, current knowledge โ€” not outdated textbook theory.

02
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100% Practical Curriculum

Every module has a project. You spend more time building than listening โ€” because that's what employers value.

03
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Dedicated Placement Cell

A full team connecting you with jobs โ€” resume reviews, mock interviews, referrals, and job alerts.

04
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AI-Powered Interview Prep

Practice on our proprietary platform that gives detailed, personalized feedback to sharpen your performance.

05
๐Ÿ…

ISO & NACTET Certified

Our certifications are recognized by employers across India โ€” a credential that genuinely matters to recruiters.

06
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Lifetime Alumni Network

Join 2000+ alumni for job referrals, collaborations, and mentorship โ€” forever, not just during class.

Student Stories

What our students say

Real words from real people who transformed their careers at Techolas.

โ˜…โ˜…โ˜…โ˜…โ˜…
I came in with zero coding experience and left with a job offer. The trainers break down even the most complex topics with such clarity. The placement team worked tirelessly to connect me with the right opportunity. This course genuinely changed my life.
AK
Arjun K.
AI & ML Fundamentals Graduate
Placed at Infosys as ML Engineer
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The projects were the best part. Instead of just watching demos, we built everything ourselves โ€” from data cleaning all the way to deployment. I showed my capstone project in interviews and it impressed every recruiter I met.
PR
Priya R.
AI & ML Fundamentals Graduate
Placed at TCS as Data Scientist
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I was a mechanical engineer with no idea about AI. After 4 months at Techolas, I got placed at a product company with a 60% salary hike. The mentor support and AI interview platform made all the difference in my preparation.
SM
Santhosh M.
AI & ML Fundamentals Graduate
UST Global โ€” 60% salary hike
FAQ

Frequently asked questions

Do I need prior coding or math knowledge?โ–ผ
No prior experience is required. This course starts from absolute basics โ€” Python from scratch and all the math explained in a practical, intuitive way. If you can use a laptop and have the drive to learn, you are ready.
Is this course online or offline?โ–ผ
Both options are available. You can attend in-person at our Calicut or palakkad centres, or join fully online via live interactive sessions. All sessions are recorded and accessible for life so you never miss a class.
What is the class schedule like?โ–ผ
Classes run for approximately 3 hours per day. We offer weekday batches (Mon to Fri) and weekend batches (Sat to Sun) to suit both working professionals and full-time students.
Is placement guaranteed?โ–ผ
We provide 100% placement assistance including resume building, LinkedIn optimization, mock interviews, job referrals to our hiring partners, and access to our AI-powered interview prep platform. Our placement rate is consistently above 95%.
What certificate will I receive?โ–ผ
Upon successful completion, you receive an ISO-certified certificate from Techolas Technologies, accredited by NACTET and EIAC. Recognized by employers across India.
Are there EMI options available?โ–ผ
Yes! Easy EMI plans are available. Financial constraints should not stop you from building your future. WhatsApp us on +91 73567 13222 to discuss a plan that fits your budget.
Can I switch careers from a non-tech background?โ–ผ
Absolutely. Many of our most successful graduates came from mechanical engineering, commerce, biology, and arts. AI and ML is not exclusively for CS graduates. With the right guidance and practice, anyone can make this switch.
When does the next batch start?โ–ผ
New batches start every month. The upcoming batch begins May 5, 2025. Seats are limited to maintain training quality โ€” enquire early to secure your spot. WhatsApp us on +91 73567 13222 for the latest batch dates.

Ready to start your AI career?

Next batch starts May 5 ยท Limited seats ยท Free counselling call included