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Why AI & ML?

Artificial Intelligence (AI) is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions. Machine Learning (ML) is a subset of AI that allows systems to learn from data and improve without explicit programming. Over the past couple of years, AI has been transforming the tech industry, powering applications like chatbots, self-driving cars, and recommendation systems, with ML enabling them to adapt and improve based on data-driven insights.
The AI and ML industry offers diverse roles across sectors like tech, healthcare, finance, and marketing. Here are some of the popular roles:
  • AI/ML Engineer
  • MLOps Engineer
  • Computer Vision Engineer
  • AI Product Manager
  • Applied Scientist
  • NLP Engineer
  • AI Research Scientist
  • As AI evolves, demand grows for skilled professionals to innovate, optimise, and integrate AI into business and daily life. That’s what our AI & ML course is designed to do.
    Our online AI & ML course equips you with in-demand skills for a thriving tech industry. It offers hands-on projects to master algorithms, data analysis, and model building. With AI transforming industries like healthcare, finance, and marketing, learning ML enhances career prospects in roles like Data Scientist and AI Engineer. You gain access to real-world case studies, certification, and networking opportunities.

    Work on projects built in partnership with top companies

    Work on real industry projects, get real-time feedback from mentors, and engage with your peers to discuss different solutions during live classes. Here are a few of the sample projects:
    Build an AI system that searches for songs basis sounds like humming or whistling
    Leverage AI to optimise operations like ETA predictions & dynamic pricing
    Design a system using GNNs to analyse relationships & prioritise recommendations
    Enhance the recommendation engine by identifying products based on preferences
    *Projects may be updated based on student and partner feedback.

    Get 1:1 guidance with our top industry mentors

    Our 300+ mentors have helped thousands of students by defining their career paths, conducting mock interviews, and giving detailed feedback. Get paired with a mentor and schedule a personalized 1:1 mentoring session.

    Curriculum is designed to make you a expert AI & ML Engineer

    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

    Our teaching army will make you confident about your fundamentals

    Our instructors are experts from top companies who have built scalable systems and understand the real-life importance of Artificial Intelligence and Machine Learning.
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    Curious about the Fee structure?
    Our payment plans make Scaler accessible to everyone with scholarships, flexible EMIs, and a 14-day refund policy. Schedule a call with an Academic Advisor to learn more.

    We also help you prepare for your job search and your interviews

    Access job opportunities from our 600+ employer partners
    Exchange job opportunities with our 20K+ Scaler student community
    Practice mock interviews with people working in the industry
    Optimize your resume & LinkedIn profile with our experienced experts

    Scaler alumni work at reputed tech organizations and promising startups

    Hear from our scaler students and make an informed decision!

    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
    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.
    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.
    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

    AI & ML Course FAQs

    Who should take this AI & Machine Learning 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.

    What is the total duration of this AI & Machine Learning program?

    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.

    What skills will you learn in the AIML certification course?

    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.
  • Why Choose Scaler for AI & Machine Learning?

  • 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
  • Is the AIML course self-paced or instructor-led?

    Scaler's AIML program is instructor-led to provide continuous guidance and support throughout the learning journey.

    Does the AIML course offer job placement assistance or career support?

    Yes, Scaler provides extensive career support, including:

  • Resume building and interview preparation.
  • Personalized mentorship from industry experts.
  • Access to over 900+ hiring partners.
  • Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.