Data Science with AI&ML Bootcamp - 4Months
Become a Certified Data Science with AI & ML with Digitalearn
Launch your career in data science with AI & ML with the Digitalearn Certified Data Science with AI (CDSAI) program! This course equips you with the practical skills needed to excel in the fields of data analytics, machine learning, and artificial intelligence. Whether you’re starting fresh or advancing your expertise, CDSAI offers hands-on training to help you harness the power of data and AI-driven solutions.
4.6 (158 ratings)
What’s Holding You Back?
Not Sure Where to Start?
Our structured curriculum guides you from the basics all the way to advanced skills, removing the guesswork and giving you a clear path forward
Lacking Real-World Experience?
Hands-on labs with tools like Metasploit, Splunk, and Wireshark help you gain practical, job-ready skills that set you apart from other candidates.
Worried About Job Market Competition?
With dedicated job placement support, including resume building, LinkedIn optimization, and mock interviews, we equip you to stand out and secure a role in cybersecurity.
What you'll learn
Program Description
The Data Science with AI/ML Bootcamp is a 16-week intensive program designed to transform you into a data science professional. You’ll gain hands-on experience in data analytics, machine learning algorithms, data visualization, and advanced AI techniques. This bootcamp prepares you for a successful career in data science, offering industry-recognized skills and the ability to solve real-world business problems using AI and ML.
Key Features
- Comprehensive Learning Path: Covers data analysis, machine learning, and AI using Python, TensorFlow, and other leading tools.
- Hands-On Projects: Work on real-world datasets and build machine learning models from scratch.
- Job-Ready Curriculum: Tailored to meet industry demands with a focus on practical skills.
- Expert Mentorship: Learn from data science professionals with years of experience in AI/ML.
Don't take our word for it
Real-World Success Stories:
Many of our graduates have successfully transitioned into cybersecurity roles at leading organizations across multiple sectors. Here’s what some of them have to say:
Why Choose This Bootcamp?
The demand for skilled data scientists and AI professionals is skyrocketing
across industries like technology, healthcare, finance, and retail. By
earning the CDSAI certification, you’ll unlock exciting career opportunities
such as:
- Data Scientist
- Machine Learning
- Engineer
- AI Researcher
- Business Intelligence Analyst
- Data Engineer
With salaries ranging from $80,000 to $130,000 per year,
depending on your experience, a CDSAI certification can elevate
your career prospects. It showcases your ability to extract insights
from data and create AI solutions, making you a standout
candidate in the competitive job market.
Syllabus
Curriculum Breakdown
Our Cyber Security Zero to Hero Bootcamp curriculum is structured to provide a comprehensive learning experience that takes you from foundational concepts to advanced cybersecurity practices. Each month focuses on specific themes, building your knowledge and skills progressively.
Week 1
Introduction to Data Science and Python Programming
- Overview of the data science lifecycle.
- Python programming basics: Data structures, loops, functions, and libraries (NumPy, Pandas).
Week 2-3
Data Wrangling and Exploratory Data Analysis (EDA)
- Data cleaning, preprocessing, and transformation.
- Exploratory data analysis using Pandas, Matplotlib, and Seaborn
Week 4-5
Statistics and Probability for Data Science
- Core statistical concepts: Mean, median, mode, variance, and standard deviation.
- Probability distributions, hypothesis testing, and confidence intervals.
Week 6-7
Machine Learning Fundamentals
- Introduction to supervised learning: Regression, classification.
- Key algorithms: Linear regression, logistic regression, decision trees, and k-nearest neighbors.
Week 8-9
Unsupervised Learning and Clustering
- Clustering techniques: K-means, hierarchical clustering.
- Principal Component Analysis (PCA) for dimensionality reduction.
Week 10-11
Advanced Machine Learning Techniques
- Ensemble methods: Random Forest, Gradient Boosting, XGBoost.
- Model evaluation metrics: Confusion matrix, accuracy, precision, recall, F1-score, and ROC-AUC.
Week 12-13
Introduction to Artificial Intelligence (AI) and Deep Learning
- Deep Learning Fundamentals: Introduction to neural networks, forward/backpropagation.
- Frameworks: Introduction to TensorFlow and Keras for building deep learning models.
Week 14-15
Natural Language Processing (NLP) and AI Applications
- Text data preprocessing, sentiment analysis, and NLP models.
- Case study on AI applications in various industries like healthcare and finance.
Week 16
Capstone Project and Revision
- Capstone Project: Build an end-to-end data science solution, applying machine learning and AI techniques to a real-world problem.
Career Opportunities & Job Placement
This bootcamp is designed to launch your career in data science, AI, and machine learning. With the growing demand for skilled data scientists, you’ll be well-positioned for high-paying roles in leading industries.
- Resume Building & LinkedIn Optimization: Create a professional profile that stands out to recruiters.
- Mock Interviews: Practice for technical and behavioral interviews with feedback from industry experts.
- Job Placement Assistance: Access to job opportunities through our network of hiring partners.
Job Roles and Salary Potential
Data scientists are in high demand, and starting salaries are competitive. Here are some entry-level roles you could pursue after completing this bootcamp, along with potential salary ranges:
- Data Scientist – Average Salary: $120,000/year.
- Machine Learning Engineer – Average Salary: $130,000/year.
- AI Specialist – Average Salary: $135,000/year.
- Data Analyst – Average Salary: $80,000/year.
Hands-on Labs & Practical Exercises
The bootcamp emphasizes practical learning through hands-on labs and real-world projects. You’ll work with real datasets, building machine learning models and AI systems from the ground up.
- Vulnerability Assessments: Identify and fix system vulnerabilities.
- Network Traffic Analysis: Detect threats using Wireshark.
- Penetration Testing: Simulate attacks with Metasploit.
- Incident Response: Respond to cyber incidents efficiently.
- SIEM & Threat Hunting: Monitor and detect threats with Splunk.
- Web Security: Secure applications using Burp Suite.
What You’ll Gain
You will learn real world experience.
Sales Forecasting Model:
Build a linear regression model to predict sales based on historical data.
Customer Segmentation
Use clustering techniques to segment customers for a retail business.
Sentiment Analysis:
Perform sentiment analysis on social media data using NLP techniques.
Capstone Project
For the final project, you’ll apply machine learning algorithms and AI techniques to solve a real-world business challenge, such as predicting customer churn or detecting fraudulent transactions.
Weekday Doubt-Clearing Sessions
Throughout the bootcamp, we offer weekday doubt-clearing sessions to provide ongoing support. Whether you need help with coding, understanding data science concepts, or debugging machine learning models, our instructors are available to assist.
- Interactive & Real-Time Support for Immediate Feedback
- Accessible Online Format with Flexible Scheduling
- Topic Reviews to Reinforce Complex Concepts
- Hands-On Lab Assistance for Troubleshooting Challenges
- Interactive Q&A for Personalized Clarifications
- Group Discussions & Peer Learning Opportunities
- Boost Your Confidence with Regular Instructor Guidance
- Stay on Track with Consistent Progress Monitoring
- Immediate Clarification to Keep Learning Momentum
- Build a Community of Like-Minded Cybersecurity Enthusiasts
Extensive Mock Interview Preparation
Our mock interview preparation is designed to give you confidence in technical and behavioral interviews for data science roles. You’ll practice with real interview questions and receive personalized feedback.
- Role-Specific Interviews Targeted for Your Desired Role
- Technical and Behavioral Rounds to Test Your Expertise
- Technical Skills Assessment Covering Key Cybersecurity Concepts
- Scenario-Based Problem Solving to Evaluate Your Approach
- Behavioral Questions to Showcase Communication & Soft Skills
- Confidence to Tackle Real Interviews with Professionalism
- Refined Communication Skills for Explaining Technical Concepts
- Constructive Feedback on Technical and Behavioral Responses
- Realistic Interview Practice with Various Interview Formats
Ready to Transform your career?
Why Enroll Now?
The Data science with AL/ML Bootcamp is your opportunity to gain the skills, hands-on experience, and job support needed to launch a rewarding career in cybersecurity. Don’t miss out on the chance to make a real impact and secure a future in this dynamic field!
- High Demand for Cybersecurity Professionals:
With millions of cybersecurity jobs projected to open globally, now is the time to gain the skills that employers are seeking. - Real-World Training & Job Support:
From hands-on labs to mock interviews, our bootcamp provides practical training that prepares you for real job responsibilities. - Lifetime Access to Materials:
You’ll have lifetime access to bootcamp materials, recorded sessions, and resources, so you can continue learning and growing even after you complete the course.
FAQs
Frequently Asked Questions
We’ve compiled a list of the most frequently asked questions to help you better understand what to expect from the Cyber Security Zero to Hero Bootcamp. If you have additional questions, feel free to reach out to our team for more information.
Who can join this bootcamp?
This bootcamp is for anyone who wants to become a data scientist or machine learning engineer. Whether you’re a beginner or have some prior experience in programming or data analysis, this bootcamp is designed to meet your needs.
What prior knowledge or skills are required?
While no prior experience in AI or machine learning is required, basic knowledge of programming (preferably Python) is beneficial.
Will I work on real-world datasets?
Yes! You’ll work on real datasets throughout the bootcamp, gaining hands-on experience with data cleaning, analysis, and machine learning.
How much time do I need to dedicate each week?
We recommend dedicating 10-15 hours per week, including live sessions, hands-on labs, and project work.
Is there job placement support?
Yes, we offer comprehensive career services, including resume assistance, mock interviews, and access to job opportunities through our network.
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