Request a Call

Chat With Us

Contact Us

Request Callback
Email ID *
Full Name *
Graduation Year *
Job Title *
Select Job title *
Engineering Leadership
Software Development Engineer (Backend)
Software Development Engineer (Frontend)
Software Development Engineer (Full Stack)
Data Scientist
Android Engineer
iOS Engineer
Devops Engineer
Support Engineer
Research Engineer
Engineering Intern
QA Engineer
Co-founder
SDET
Product Manager
Product Designer
Backend Architect
Program Manager
Release Engineer
Security Leadership
Database Administrator
Data Analyst
Data Engineer
Non Coder
Other
Program *
Select Program *
Academy (Software Development)
Data Science
AI & Machine Learning
Devops
MS in CSE
Mobile Number *
+91 *
+91
You’ll receive an OTP on this number for verification
By continuing, I have read and agree to Scaler’s Terms and Privacy Policy
Callback Requested
Our Academic Counsellor would reach out to you within the next 24 hours.
Call back Requested
Our academic counsellor will reach out to you on at .
Need Help? Talk to our Academic Advisors
Request a Call
Need Help? Talk to our Academic Advisors
Request a Call
Ready to become a Rockstar Developer?
Already a member? LOG IN
Full Name *
Email *
Phone Number *
OTP will be sent to this number for verification
+91 *
+91
Graduation Year *


By creating an account I have read and agree to Scaler’s Terms and Privacy Policy
Already a member? LOG IN
OR
Log in using
Mobile Number *
+91 *
+91

OR
Log in using
Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Having trouble with OTP? Allow SMS permissions or try a different login method
continue using email
Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Having trouble with OTP? Allow SMS permissions or try a different login method
continue using email
Resend OTP

Why Scaler Artificial Intelligence & Machine Learning Program?

Scaler’s AI & ML course is a program curated to help you kick-start your career in Artificial Intelligance & Machine Learning. We’ll make you industry-ready through a rigorous curriculum taught by industry veterans who’ll mentor you as you headway toward growth.
Monthly 1:1 mentorship with AI experts to guide your learning journey.
Learn from leaders who’ve built Generative AI models like ChatGPT, Bard, and DALL-E.
50+ real-world projects, including Generative AI apps, chatbots, and predictive models.
Personalized career guidance for roles like ML Engineer and Generative AI Specialist.
Master AI tools like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs.
Join a vibrant AI-focused community for collaboration and networking opportunities.
1:1 Mentorship
Monthly 1:1 mentorship with AI experts to guide your learning journey.
Top Instructors
Learn from leaders who’ve built Generative AI models like ChatGPT, Bard, and DALL-E.
Projects and Case Studies
50+ real-world projects, including Generative AI apps, chatbots, and predictive models.
Career Counselling
Personalized career guidance for roles like ML Engineer and Generative AI Specialist.
Tools and Languages
Master AI tools like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs.
Learners & Alumni Network
Join a vibrant AI-focused community for collaboration and networking opportunities.
Talk to our Advisor
and get
Personalized Career Roadmap
Free Career Counselling
Free Access to Scaler Events
Request a call
1.

What Kind of Projects Can You Expect in Our AI & ML Program?

Projects from Leading Companies to Make You an Industry-Ready AI & Machine Learning Engineer

Gain hands-on experience with real-world projects designed in collaboration with top companies, enabling you to master Generative AI and other cutting-edge technologies.

All Projects
AI-Powered Fraud Detection
Use machine learning to block fraudulent transactions, ensuring security.
Real-Time Network Optimization
Optimize networks with AI to reduce junk traffic and delays.
Generative AI for Product Personalization
Develop AI models for personalized shopping, boosting engagement and sales.
AI-Enhanced User Experiences
Design AI solutions for engaging apps and games, improving retention.
2.

What if I get stuck or need guidance?

Get 1:1 Mentorship from Expert AI and ML Engineers!

Speak 1:1 with your mentor to get all your AI & ML related queries and doubts answered, help you define your career paths, conduct mock interviews, and give you detailed feedback.

Your Mentors

Kunal Rathod

Ex
read more

Sumedh Chandaluri

Ex
read more

Abhishek Kumar

Ex
read more

Sajjad Manal

Ex
read more

Srikanth Varma

Ex
read more

Ajay Shenoy

Ex
read more
3.

Will I get Placement Assistance?

Create real-world impact with your new skillset!

Companies wish to hire AI and ML engineers who are not just certified but skilled and have a deep understanding of business. We at Scaler help you achieve the best skillset and help you get job opportunities from top companies.

tech-stacks
Resume Making
tech-stacks
Help with Referrals
tech-stacks
Mock Interview
tech-stacks
Career Counselling
tech-stacks
4.

Which AI & ML tools would I learn?

Supercharge your AI journey with cutting-edge tools that power the future of Generative AI and Machine Learning!

Learn 45+ AI & ML tools, including Git, TensorFlow, PySpark, PyTorch, and Kafka.

Meet the people who made it to the top companies

Deepak Mittal
Gen AI - Data Scientist
AI & ML May 2022
Newgen Software
Consistently working hard opens doors to learning opportunities. With relentless practice, I have cleared mock interviews using skills like hashtag#word2vec, hashtag#bert, hashtag#transformer model, topic modeling, language modeling, name entity recognition (hashtag#NER), and document classification
Years of experience at the time of joining Scaler
1
College
Meerut Institute Of Engineering And Technology
Degree
B.Tech
Scaler Graduation Year
2024
Pranav Raman
Senior Manager
AI & ML December 2021
State Street corporation
I started with a clear goal in my mind, and made a commitment to devote ample time for learning. I also set micro-goals to attain. 🎯Support I sought along the way: When I heard about Scaler and their unique approach, I made the decision to enroll, and it was an amazing decision! The flexible classes and the assessment methods are helping me clear up my concepts tremendously well.
Years of experience at the time of joining Scaler
13
College
Mumbai University
Degree
BE
Scaler Graduation Year
2024
Arun M V
Applied scientist
DSML Nov21 Intermediate
Qualcomm
Choosing the scaler course was the best decision I have made for my career growth.Throughout my journey with scaler, it was more like a fun way to learn and develop skills. With every session, I used to be more and more curious. It never felt like a chore to attend the classes. Even after having a tiring day, I always looked forward to learning and enjoying the scaler sessions at night.
Years of experience at the time of joining Scaler
1
College
Sri Jayachamarajendra College Of Engineering Mysore
Degree
B.Tech
Scaler Graduation Year
2021
Ankur Prakash
Senior Data Scientist
AI & ML September 2022
Milestone
As someone who has been working as a software developer for almost 7 long years, I was eager to enhance my skills and strengthen my fundamentals. And, as fate would have it, Scaler was recommended to me by a friend who was already riding the wave.
Years of experience at the time of joining Scaler
6
College
PESIT
Degree
BE/BTech
Scaler Graduation Year
2024
Vikas Malviya
Data Scientist
AI & ML September 2022
Cognizant
Years of experience at the time of joining Scaler
14
College
K.C.College of Engineering and Management Studies
Degree
BE
Scaler Graduation Year
2024
Rohit Kamra
Data Scientist
DSML Apr22 Intermediate
Accenture
When it came to working on these, I started right from the fundamentals. Scaler oriented me to a rough blueprint on which I could base progress on strong foundations.
Years of experience at the time of joining Scaler
7
College
GEC Ajmer
Degree
B.Tech
Scaler Graduation Year
2017
Sahil Bansal
Data Scientist
DSML June 22 Intermediate
Tiger Analytics
Scaler Academy's curriculum is truly top-notch, equipping me with the skills and confidence needed to excel in the field of data science. The hands-on projects and real-world scenarios prepared me well for the challenges ahead.
Years of experience at the time of joining Scaler
4
College
Chandigarh University
Degree
B.Tech
Scaler Graduation Year
2020
Nischay Sabharwal
Data Scientist
DSML Apr22 Beginner
Omdena
I most enjoyed studying applications of data from a business perspective during this comprehensive online course with Scaler, focused chiefly around developing strong foundations.
Years of experience at the time of joining Scaler
8
College
Guru Gobind Singh Indraprastha University
Degree
B.Tech
Scaler Graduation Year
2018
5.

Is Scaler’s AI & Machine Learning course’s curriculum aligned with the industry?

Up-to-date curriculum with the fast-evolving AI & Machine Learning
Foundational concepts
7 Projects
Core ML & AI
22 Projects
Adv. MLE & Applications
18 Projects
Module - 1

Data Analysis and Visualisation

1 Months
Module - 2

Maths for ML

1 Month
1 Months
Data Analysis and Visualisation
  • Numpy, Pandas
  • Matplotlib
  • Seaborn
  • Probability
  • Conditional Probability & Bayes Theorem
  • Combinatorics
  • Descriptive Statistics
  • Probability Distributions 1
  • Central Limit Theorem
  • Z-test
  • T-test
  • Chi-Sqaure
  • ANOVA
  • Correlation
1 Month
Maths for ML
  • Dot Products & Hyperplans
  • Half Spaces & Distances
  • Losses & Minimization
  • Calculus Refresher
  • Gradient Descent & Implementation
Download Curriculum
Module - 1

Traditional ML

3 Months
Module - 2

Deep Learning

2-3 Month
Module - 3

Time Series & Recommender System

1 - 2 Months
3 Months
Traditional ML
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbour
  • Decision Tree
  • Random Forest
  • Bagging
  • Boosting
  • Naive Bayes
  • SVM
  • K-Means
  • Hierarchical
  • GMM
  • DBSCAN
  • Anomaly Detection
  • Isolation Forest
  • Local Outlier Factor
  • PCA
  • T-SNE
2-3 Month
Deep Learning
  • Neurons
  • Multi-Layer Perceptron
  • Implementing Neural Networks from Scratch
  • Regression
  • Classification with NN
  • TensorFlow
  • Keras
  • PyTorch
  • Model Interpretability
Natural Language Processing (NLP)
  • Word Embeddings and Representation
  • RNNs
  • LSTM
  • Attention
  • Transformers
Computer Vision(CV)
  • Computer Vision
  • Object Detection
  • Recognition
  • Segmentation
  • Image Embeddings
1 - 2 Months
Time Series & Recommender System
  • Time Series Data
  • Interpolation Missing Data and Anomalies
  • Trend
  • Moving Average
  • Time Series Decomposition
  • SES
  • DES
  • TES
  • DF-Test
  • Stationarizing
  • Autocorrelation
  • ARIMA Family of Models
  • SARIMA
  • SARIMAX
  • Prophet
  • TimesNet
  • Market Basket Analysis
  • Apriori Algorithm
  • Content-Based Recommender System
  • Collaborative Filtering
  • Matrix Factorization
Download Curriculum
Module - 1

Gen AI

2-3 Months
Module - 2

MLops, LLMops, and ML System Design

2 Months
Module - 3

Big Data

1 Month
Module - 4

Reinforcement Learning

1 Month
2-3 Months
Gen AI
  • Transformer
  • VAEs and GAN Architectures
  • LLM APIs
  • Open Source Gen AI Models with HuggingFace
  • Speech Models
  • Moderating
  • Evaluating LLMs
  • RAGs
  • LangChain
  • Cross Encoder Reranking
  • MMR
  • BM25
  • Advanced RAGs
  • LLM Agents
  • Vision Gen AI Models
  • Fine-Tuning LLMs (LoRA, QLoRA, RAFT)
2 Months
MLops, LLMops, and ML System Design
  • Streamlit, Flask
  • Git and GitHub
  • GitHub Actions
  • Docker
  • CI/CD
  • CI/CD
  • AWS ECS
  • ECR
  • MLFlow
  • Optuna
  • BentoML
  • Kubeflow
  • AWS SageMaker
  • Feature Store
  • Model Registry
1 Month
Big Data
  • Spark
  • PySpark
  • Spark Clustering
  • RDD
  • Spark Streaming
  • Kafka
1 Month
Reinforcement Learning
  • Reinforcement Learning
  • Basics of Dynamic Programming
  • Policy Definition
  • Bandit Algorithms
  • Markov Decision Process
  • Monte Carlo Method
  • Q-Learning
  • SARSA (State-Action-Reward-State-Action)
  • Deep Q-Learning (in TensorFlow)
  • Gymnasium Environment
  • Multi-Agent Reinforcement Learning with TensorFlow
  • Cooperative vs Competitive Agents
  • ELO Scoring for Agents
Download Curriculum
1 Months
Data Analysis and Visualisation
  • Numpy, Pandas
  • Matplotlib
  • Seaborn
  • Probability
  • Conditional Probability & Bayes Theorem
  • Combinatorics
  • Descriptive Statistics
  • Probability Distributions 1
  • Central Limit Theorem
  • Z-test
  • T-test
  • Chi-Sqaure
  • ANOVA
  • Correlation
1 Month
Maths for ML
  • Dot Products & Hyperplans
  • Half Spaces & Distances
  • Losses & Minimization
  • Calculus Refresher
  • Gradient Descent & Implementation
3 Months
Traditional ML
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbour
  • Decision Tree
  • Random Forest
  • Bagging
  • Boosting
  • Naive Bayes
  • SVM
  • K-Means
  • Hierarchical
  • GMM
  • DBSCAN
  • Anomaly Detection
  • Isolation Forest
  • Local Outlier Factor
  • PCA
  • T-SNE
2-3 Month
Deep Learning
  • Neurons
  • Multi-Layer Perceptron
  • Implementing Neural Networks from Scratch
  • Regression
  • Classification with NN
  • TensorFlow
  • Keras
  • PyTorch
  • Model Interpretability
Natural Language Processing (NLP)
  • Word Embeddings and Representation
  • RNNs
  • LSTM
  • Attention
  • Transformers
Computer Vision(CV)
  • Computer Vision
  • Object Detection
  • Recognition
  • Segmentation
  • Image Embeddings
1 - 2 Months
Time Series & Recommender System
  • Time Series Data
  • Interpolation Missing Data and Anomalies
  • Trend
  • Moving Average
  • Time Series Decomposition
  • SES
  • DES
  • TES
  • DF-Test
  • Stationarizing
  • Autocorrelation
  • ARIMA Family of Models
  • SARIMA
  • SARIMAX
  • Prophet
  • TimesNet
  • Market Basket Analysis
  • Apriori Algorithm
  • Content-Based Recommender System
  • Collaborative Filtering
  • Matrix Factorization
2-3 Months
Gen AI
  • Transformer
  • VAEs and GAN Architectures
  • LLM APIs
  • Open Source Gen AI Models with HuggingFace
  • Speech Models
  • Moderating
  • Evaluating LLMs
  • RAGs
  • LangChain
  • Cross Encoder Reranking
  • MMR
  • BM25
  • Advanced RAGs
  • LLM Agents
  • Vision Gen AI Models
  • Fine-Tuning LLMs (LoRA, QLoRA, RAFT)
2 Months
MLops, LLMops, and ML System Design
  • Streamlit, Flask
  • Git and GitHub
  • GitHub Actions
  • Docker
  • CI/CD
  • CI/CD
  • AWS ECS
  • ECR
  • MLFlow
  • Optuna
  • BentoML
  • Kubeflow
  • AWS SageMaker
  • Feature Store
  • Model Registry
1 Month
Big Data
  • Spark
  • PySpark
  • Spark Clustering
  • RDD
  • Spark Streaming
  • Kafka
1 Month
Reinforcement Learning
  • Reinforcement Learning
  • Basics of Dynamic Programming
  • Policy Definition
  • Bandit Algorithms
  • Markov Decision Process
  • Monte Carlo Method
  • Q-Learning
  • SARSA (State-Action-Reward-State-Action)
  • Deep Q-Learning (in TensorFlow)
  • Gymnasium Environment
  • Multi-Agent Reinforcement Learning with TensorFlow
  • Cooperative vs Competitive Agents
  • ELO Scoring for Agents
Download Curriculum
×

Industry Recognized Certification.

certificate
5.

Will I receive a AI & ML Certification upon completing this course?

Level up your career with Scaler’s Industry-Recognized Certification.
6.

Can I try a demo class?

“Know us before you grow with us” is our motto.

Attend a free class and get a feel of our teaching patterns

7.

Who will teach me?

Only the best... The Instructors are so amazing, you’d think they have superpowers

Our amazing AI & ML instructors take live classes and resolve all your doubts on the go. We have the best pack from the industry!

Your Mentors

Anshuman Singh

Ex
read more

Shivank Agarwal

Ex
read more

Suraaj Hasija

Ex
read more

Naman Bhalla

Ex
read more
affordable-course
8.

Great, but what about the Scaler AI & ML Course fee? Is it affordable?

Consider it a short-term investment for your long-term career growth!

Please contact our team for detailed pricing.

EMI Options
You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)
Total Amount
Upfront Downpayment
Amount split over EMI
Duration (Months)
Monthly Payments
No Cost Emi
₹369,000
₹35,000
₹334,000
6
9
12
18
24
₹55,667
₹37,111
₹27,833
₹18,556
₹13,917
Standard Emi
₹369,000
₹35,000
₹334,000
36
60
₹12,339
₹8,628
Delivered via our EMI partners - Liquiloans, Eduvanz, EarlySalary, Avanse & Credit Fair
You can also choose to avail EMI options from your credit card providers.
9.

Can I connect with other top AI & ML Engineers?

Network with alumni and peers from top companies

Access AI & ML related job opportunities from 600+ partner employers and exchange job opportunities with a 20k+ strong student community that will make you say Scaler Forever!

why-dsa
10.

Do you have any proof or reviews that your course works?

Our Proven Track Record shows that we walk the talk
Sumit Kumar

Sumit Kumar

A big shout out to my mentor Chandra Bhan Giri. I will always be grateful to you for your support and guidance. It would be impossible to count all the ways that you’ve helped me in my career.
phone
Ready to become an AI and ML expert? Kickstart your journey! Request a callback from our team to learn more!

Scaler AI & ML Training FAQ’s

Program

This AI & Machine Learning program is designed for anyone eager to dive into the world of AI and Machine Learning. The program offers foundational modules and advanced concepts to help you excel.
Scaler’s AI & Machine Learning program stands out because:-
  • It covers all essential AI & Machine Learning topics, providing a holistic learning experience.
  • Focuses on real-world projects to give learners practical exposure to industry-relevant challenges.
  • Features mentorship from AI & Machine Learning industry experts, ensuring learners gain valuable insights.
  • Includes cutting-edge topics like Generative AI, NLP, and Deep Learning to keep learners at the forefront of innovation.
  • The program’s flexibility and placement support make it accessible to learners from diverse backgrounds.
Yes, the program is flexible and can be attended online on a part-time basis. If you miss a live session, you’ll have access to recorded classes. Additionally, the program allows for a 3-month break, which can be availed within the course duration.
The program is designed to cover all critical concepts without compromising on depth. On average, the duration spans around 12 months, offering a mix of live classes, projects, and hands-on experience to build expertise in AIML.
Live classes are held 2-3 times a week on alternate days, scheduled primarily in the late evening or at night to suit working professionals. Weekend timings are flexible to accommodate learners’ schedules.
The curriculum is rigorous but designed to be manageable. Each week, you’ll have:-
  • 2-3 live lectures of 1.5 - 2.5 hours each
  • Pre-recorded lectures
  • Homework assignments
  • Real-world business case projects
  • Industry-relevant discussions
  • Live Lab Sessions
This structure ensures you gain hands-on experience in AIML and cover advanced topics like Deep Learning, Generative AI, and NLP within the timeframe.
The fee for the AI & Machine Learning program is competitive and reflects the comprehensive nature of the curriculum, mentorship, and placement support. Please contact our team for detailed pricing.
  • 1:1 Mentorship from leading AI & Machine Learning professionals.
  • A curriculum that evolves with the rapidly growing AI & Machine Learning domain.
  • Learn essential tools and languages like TensorFlow, PyTorch, Hugging Face, and many more
  • Access to placement support to kickstart your career in AI & Machine Learning

Eligibility

Yes, there is an eligibility test called the Scaler Entrance Test for enrolling in Scaler's AIML program.
In Scaler's AIML certification course, you'll acquire a wide range of skills, including:
  • Skills in Python, TensorFlow, and PyTorch
  • Machine learning and artificial intelligence fundamentals.
  • Deep learning concepts like neural networks, computer vision, and natural language processing.
  • Specializations in reinforcement learning, advanced AI algorithms, and generative AI.
  • Advanced knowledge of MLOps, algorithm optimization, and deployment strategies.
Scaler's AIML program is open to working professionals who are comfortable and confident with basic programming concepts and mathematics.

Job and Career

Yes, AIML will be an excellent career choice in 2024. The field is growing rapidly, driven by the increasing adoption of AI and ML technologies across industries.
After completing the AIML course, you can explore various job roles, including:
  • Machine Learning Engineer
  • Artificial Intelligence Specialist
  • Data Scientist
  • NLP Engineer
  • Computer Vision Engineer
  • AI Research Scientist
  • Robotics Engineer, and more
Top companies such as Amazon, Google, Microsoft, IBM, Meta, Apple, Tesla, Accenture, Wipro, and Deloitte are actively hiring AIML professionals.
Yes, Scaler provides extensive career support, including:
  • Resume building and interview preparation.
  • Personalized mentorship from industry experts.
  • Access to over 900+ hiring partners.
Scaler's alumni report a median salary hike of 110% and a medium CTC of INR 18 lakhs per annum.

Certification

To earn Scaler's AIML certification, you need to complete all course modules, assignments, and projects. Your performance will be assessed throughout the program.
Scaler's AIML certification is a lifetime certification, meaning it never expires and serves as a testament to your expertise in AIML.
Yes, certificates are provided to all learners upon course completion.
Scaler's AIML certification is highly regarded in the industry due to its comprehensive curriculum and hands-on learning approach.

Lectures

You can watch recorded sessions of any missed lecture, ensuring you don't fall behind.
Yes, course materials and recorded lectures will be available for up to 6 months after completing the course.
Scaler offers flexibility with recorded lectures, enabling learners to catch up at their convenience.
Scaler's AIML program is instructor-led to provide continuous guidance and support throughout the learning journey.
The course covers all essential math topics, such as linear algebra, probability, statistics, and calculus, required for AIML.

Community

Scaler offers multiple support channels, including WhatsApp groups, a dedicated dashboard, chat, and phone support.
Yes, Scaler has a vibrant community for learners to interact and collaborate with peers and mentors.
Scaler's community includes global professionals. While international opportunities depend on visa sponsorships, many Indian companies work on global projects, offering remote or relocation options. Scaler also guides applying to such roles.

😎 Look who is famous!

Scaler Advanced AI & Machine Learning is the talk of the town!
We’ve consulted with 100+ AI and ML engineers to design what works best—don’t wait; request a callback from our team today!
Main Hero Thumbnail
Email ID *
Full Name *
Graduation Year *
Job Title *
Select Job title *
Engineering Leadership
Software Development Engineer (Backend)
Software Development Engineer (Frontend)
Software Development Engineer (Full Stack)
Data Scientist
Android Engineer
iOS Engineer
Devops Engineer
Support Engineer
Research Engineer
Engineering Intern
QA Engineer
Co-founder
SDET
Product Manager
Product Designer
Backend Architect
Program Manager
Release Engineer
Security Leadership
Database Administrator
Data Analyst
Data Engineer
Non Coder
Other
Program *
Select Program *
Academy (Software Development)
Data Science
AI & Machine Learning
Devops
MS in CSE
Mobile Number *
+91 *
+91
You’ll receive an OTP on this number for verification
By continuing, I have read and agree to Scaler’s Terms and Privacy Policy