AI BootCamps (5 Courses)
Career Oriented
Course Category Career Oriented
Course Category 
Google Rating
Learners
Cohorts
Enterprises
AI and ML Engineers are among the fastest-growing roles in tech today, with demand outpacing supply across industries. Companies are actively hiring engineers who can build, deploy, and scale intelligent systems, not just use AI tools.
In this 10-week bootcamp, you'll build real-world projects, develop a production-grade portfolio, and learn how to design and deploy practical machine learning systems used in modern applications.
Go from Python fundamentals to building real AI systems in a single program
Build a face detection system, a working chatbot, and 11 more domain-specific projects
Learn through a future-ready curriculum delivered live by FAANG experts, industry practitioners, and top university trainers worldwide.
Learn industry-standard tools used in production — TensorFlow, PyTorch, OpenCV, Scikit-learn, and more
Evaluate and optimize machine learning models the way engineers do in production environments
Choose your capstone project based on your career focus — Computer Vision or Customer Churn Prediction
Work directly with TensorFlow, PyTorch, Scikit-learn, OpenCV, to build practical AI systems.
Cover the full AI stack — Machine Learning, Deep Learning, NLP, and Computer Vision
Build a strong foundation for advanced paths like Generative AI, Agentic AI, or MLOps
Learn every concept through hands-on coding and practical implementation
AI/ML Engineer Job Statistics
Projected AI & ML job growth by 2032
Increase in AI-related job postings Y-o-Y
AI & ML market growth by 2030
30–60% average salary jump after AI / ML upskilling
Data Analytics across Domains
What is Analytics?
Types of Analytics
AI vs ML vs DL vs DS
Lab
Introduction to statistics
Central Limit Theorem
Measures of Central Tendancies
Measures of Spread
Measuring Scales
Descriptive Statistics
Inferential Statistics
Lab
Types of Distribution
Hypothesis Testing
Statistical Tests
Analysis of Variance
Goodness of Fit test
Probability Theory for Data Analytics
Lab
Python Fundamentals and Programming
Data Handling with NumPy and Pandas
Advanced Data Visualization with Seaborn
Lab
Introduction To Data Science
End-to-End Data Science
Reading data from different Sources
Exploratory Data Analysis
Data Science: Data Cleaning Feature Engineering
Data Science Fundamentals
Lab
Regression and Classification Algorithms:
Logistics regression
Decision Trees and Ensemble Methods
Naive Bayes
Support Vector Machine ( SVM)
k-Nearest Neighbours (KNN)
Hierarchical Clustering
K Means
Principal Component Analysis(PCA)
Artificial Intelligence
Neural Networks using Tensors and Keras
Project: Convolutional Neural Networks (CNN)
Recurrent Neural Networks
Project: Long short-term memory (LSTM)
Natural Language Processing Basics
To fast-track your career and achieve
Build a real-time computer vision system that detects human faces and classifies whether a person is wearing a mask or not using CNNs and OpenCV with deployment as a live web application.
Develop a machine learning model to predict customer churn using real-world business data, identify key churn drivers and provide actionable insights for retention strategies.
The exam will be in Multiple Q and A with multiple projects throughout the training and a Final capstone project.
Having background of data science and experice in Python is recommended.
Learn directly from active hiring managers and industry leaders. Gain real insights, confidence, and visibility that go beyond the classroom.
Build interview confidence through real-world assessments, structured prep, and feedback from professionals who actually hire.
Optimize your resume, LinkedIn, and GitHub to attract recruiter attention and stand out in competitive hiring pipelines.
Get personalized coaching from industry veterans—covering interviews, communication, workplace presence, and career strategy.
I joined the AI and ML Bootcamp by Agilefever with zero coding confidence—now I can build my own machine learning models! The hands-on projects, real-world case studies, and expert guidance made it all click. Highly recommend it for anyone looking to future-proof their career
This bootcamp demystified AI for me. The instructors broke down complex concepts into bite-sized, actionable lessons. From Python to neural networks, every module was structured perfectly. I walked in curious and walked out job-ready!
The AgileFever AI and ML Bootcamp is amazing! The teachers explain everything slowly and very clearly. The lessons are easy to follow, and there are lots of practice projects. It’s great for beginners because you don’t need to know much before you start. You learn how to use real tools for making AI. This bootcamp helped me understand AI easily and gave me skills for a job. I loved it and I think it’s the best place to learn AI and machine learning.
Python & Statistics → Data Cleaning & EDA → Supervised Learning (Regression, Classification) → Unsupervised Learning (Clustering, PCA) → Model Evaluation & Optimization → Deep Learning (ANN, CNN, RNN, LSTM) → Computer Vision (OpenCV) → NLP & Chatbot Development → Capstone & Career Support
This bootcamp goes beyond analysis and dashboards. You’ll learn to build intelligent systems — training models, building neural networks, working with computer vision and NLP, and preparing for production. Data Science courses rarely go this deep into Deep Learning or model deployment.
No. We cover Python essentials from scratch — including NumPy, Pandas, Matplotlib, and statistics. Basic logical thinking is enough to get started.
Yes. Cohorts run on weekday evenings or weekends, with flexible EMI options starting from $66/month — designed for engineers who are currently employed and learning alongside their jobs.
TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras, NumPy, Pandas, Matplotlib, Seaborn, Jupyter, Anaconda, GitHub — 13+ tools in total, the same stack used in production AI/ML environments.
Yes. Deep Learning takes up an entire module — covering ANN, CNN, RNN, and LSTM using TensorFlow, Keras, and PyTorch. You’ll build a face detection system using CNN and OpenCV, which most bootcamps at this price never touch.
13+ domain-specific projects across Healthcare, Fintech, and Retail — including disease prediction, customer segmentation, sentiment analysis, and a working chatbot — plus a final Capstone.
You can choose between Face Mask Detection using Computer Vision or Customer Churn Prediction using ML — both built end to end, ready to present in interviews.
No exam. You earn your certificate by completing all modules and your capstone project.
Yes. This bootcamp is the natural foundation for AgileFever’s GenAI, Agentic AI, and MLOps bootcamps — giving you a clear specialisation path when you’re ready to go further.
