Become a Certified Data Science with AI with Digitalearn
Launch your career in data science and AI 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.
Build Your Data Science and AI Skills with Digitalearn’s Flexible Online Courses
Our courses, tailored for all levels of experience, focus on hands-on learning to empower you with the tools and techniques needed to analyze complex datasets and build AI-driven models. With DigitalEarn’s industry-recognized certifications, you’ll gain practical expertise to solve real-world problems and propel your career—all at your own pace, from anywhere.
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Why Choose the Digitalearn Certified Data Science with AI Training?
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:
Tools You’ll Master
Gain hands-on experience with industry-leading tools such as:
- Python, R, and SQL for data manipulation and analysis.
- Tableau and Power BI for data visualization.
- TensorFlow and PyTorch for deep learning models.
- Scikit-learn and Keras for machine learning.
- Big Data Platforms like Apache Spark and Hadoop.
What Sets This Program Apart ? Key Solutions
- Career Preparation:
- Mock Interview Prep: Technical and behavioral interview simulations.
- Resume Building: Access ready-to-use templates tailored for data roles.
- Job Application Guide: Tips to land your dream role.
- Internship Benefits: Gain hands-on experience with industry-standard tools.
- Practical Learning:
- Live Projects: Work on 5+ real-world data science projects.
- Interactive Practical Sessions: Participate in engaging, instructor-led classes.
- Cutting-Edge Tools: Stay ahead with the latest data science and AI technologies.
- Certification and Exams:
- Exam Simulation: Practice with mock tests and sample questions.
- Exam Vouchers: Get exclusive vouchers (subject to availability).
- Additional Learning Support:
- Soft Skills Training: Personality development sessions to enhance communication skills.
- Class Recordings: Access anytime for review and revision.
- Comprehensive E-books: Deep dive into concepts with detailed learning materials.
- Ongoing Mentorship:
- Lifetime Career Mentorship: Expert guidance at every step of your journey.
- Continuous Learning:
- Updated Content: Stay current with market trends and emerging AI technologies.
- Demos: Optional hands-on demonstrations to deepen understanding.
What are the Insights?
The CDSAI program is a 2-month course combining live sessions, practical labs, and self-paced learning. You’ll explore cutting-edge data science topics, strengthen your skills, and gain confidence in your abilities. Features Include:
- Instructor-led classes taught by data science experts.
- Real-world labs simulating industry scenarios.
- Weekly assignments and quizzes for hands-on practice.
- Collaborative discussions and Q&A sessions with mentors and peers.
Syllabus
Curriculum Breakdown
Our Data Science with AI/ML 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
Data Science and AI Fundamentals
- Overview of data science, machine learning, and AI applications.
- Hands-on practice with Python, R, and Jupyter notebooks.
- Exploratory data analysis (EDA) and data cleaning techniques.
Week 2-3
Exploratory data analysis (EDA) and data cleaning techniques.
- Building predictive models using regression and classification techniques.
- Unsupervised learning: clustering and dimensionality reduction.
- Practical labs with Scikit-learn, TensorFlow, and Keras.
Week 4-5
Statistics and Probability for Data Science
- Fundamentals of neural networks and deep learning.
- Applications of AI in computer vision and natural language processing (NLP).
- Hands-on practice with TensorFlow and PyTorch.
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 15
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.
How Schedule and Commitments will work?
Duration
2 months (8 weeks).
Mode
100% online with live sessions, practical labs, and self-paced study.
Commitment
2 hours per day, 4 days a week (Mon-Wed-Thur-Sat).
Total Hours
70 hours.
Cost
$1,500
Real-World Tasks in the Training Program
Data Cleaning and Wrangling: Prepare datasets for analysis using Python and R.
- Model Development: Build machine learning models to solve business problems.
- AI Solutions: Develop deep learning models for tasks like image recognition.
- Data Visualization: Create interactive dashboards with Tableau and Power BI.
Certifications Covered
Upon completing the program, you’ll earn:
Digitalearn Certified
Data Science with AI (CDSAI) Certificate.
Industry-Aligned Certifications
Exam preparation for globally recognized certifications like Microsoft Certified Data Scientist and Google TensorFlow Developer.
Career Opportunities & Job Placement
- Data Scientist
Machine Learning Engineer
AI Researcher
Business Intelligence Analyst
Data Engineer
Job Roles and Salary Potential
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.
What Kind of Support Will You Receive?
Dedicated Mentorship
Get one-on-one guidance from experienced data scientists.
Career Assistance
Personalized tips for job applications and interviews.
Community Access
Join a thriving alumni network of data professionals.
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.
What is the CDSAI Bootcamp?
The Certified Data Science with AI (CDSAI) Bootcamp is a 2-month online course offering practical training, live sessions, and hands-on projects to prepare you for a career in data science and AI.
Who is this program for?
It’s designed for beginners and professionals looking to develop or advance their data science and AI skills.
What is the cost and duration?
The program costs $1,500, runs for 2 months, and includes 70 hours of live and self-paced learning.
What will I learn?
Key skills include data analysis with Python and R, machine learning with TensorFlow, AI modeling, and visualization with Tableau.
What job roles can I pursue?
Roles include Data Scientist, AI Developer, Machine Learning Engineer, and Business Intelligence Analyst.
Do I need prior experience?
No prior experience is required. The program starts with foundational concepts and progresses to advanced topics.
Are sessions recorded?
Yes, all sessions are recorded and accessible anytime for review.
What certifications are included?
The program awards the CDSAI certification and prepares you for global credentials like Microsoft Data Scientist and TensorFlow Developer.
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