Course Includes:
- Price: FREE
- Enrolled: 10336 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 12:42 AM (updated every 10 min)
Course Folder
What You'll Learn
- Clean
- analyze
- and prepare data for real-world machine learning and AI applications.
- Build and evaluate machine learning models for regression
- classification
- clustering
- and recommendation systems.
- Apply deep learning techniques such as neural networks
- CNNs
- RNNs
- and generative AI for advanced use cases.
- Work confidently with Python
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow
- and PyTorch to solve end-to-end problems
- Perform feature engineering
- model optimization
- and hyperparameter tuning to improve accuracy
- Deploy models into production using APIs (FastAPI
- Flask)
- Docker
- and Streamlit dashboards.
- Understand the basics of MLOps
- including model monitoring
- performance tracking
- and drift detection.
- Tackle real-world projects and a capstone
- gaining the confidence to showcase a complete portfolio to employers.
- Translate technical outputs into business insights and decision-making strategies.
- Prepare for career roles like Data Scientist
- Machine Learning Engineer
- or AI Specialist.
Requirements
- Basic computer literacy – comfort with installing software
- navigating files
- and using online tools.
- Familiarity with mathematics fundamentals – especially algebra
- probability
- and basic statistics (no advanced math required).
- Beginner-level Python knowledge – understanding variables
- loops
- functions
- and simple data structures.
- A computer with Windows
- macOS
- or Linux and internet connection to run tools and complete labs.
- Curiosity
- persistence
- and a willingness to learn by doing—no prior machine learning or AI experience required.
Description
“This course contains the use of artificial intelligence.”
This comprehensive Data Science and Artificial Intelligence Mastery course is designed to take you from beginner to job-ready professional in just 100 days. Through a carefully structured curriculum, you’ll gain both theoretical knowledge and hands-on experience with the most in-demand tools and technologies in the industry.
You’ll begin by building a strong foundation in data analysis, data cleaning, and feature engineering, learning how to work with structured and unstructured data. From there, you’ll dive deep into machine learning algorithms such as regression, classification, and clustering, while also mastering advanced topics like deep learning, neural networks, and generative AI.
Every step of the way, you’ll reinforce your skills with hands-on labs, real-world case studies, and a capstone project that simulates industry challenges. You’ll also explore data visualization, model deployment with APIs (FastAPI, Flask), and MLOps concepts like monitoring and drift detection, preparing you for the realities of production environments.
By the end of this course, you’ll have a polished portfolio showcasing end-to-end AI projects, a deep understanding of tools such as Python, Pandas, Scikit-Learn, TensorFlow, PyTorch, Docker, and Streamlit, and the confidence to apply for roles like Data Scientist, Machine Learning Engineer, or AI Specialist.
This isn’t just a course—it’s a complete career preparation journey, giving you the skills, projects, and confidence to stand out in today’s competitive data-driven job market.
Who this course is for:
- Beginners in Data Science & AI who want a structured
- step-by-step path to mastery.
- Students and recent graduates looking to gain practical skills and build a strong project portfolio.
- Professionals in IT
- software engineering
- or business analytics who want to transition into data science and machine learning roles.
- Working data analysts who want to upgrade from basic analytics to machine learning and AI applications.
- Career changers from non-technical backgrounds who are motivated to learn programming and data-driven problem solving
- Entrepreneurs and innovators who want to apply AI techniques to real-world challenges and startup ideas.
- Anyone passionate about hands-on learning
- real-world case studies
- and building job-ready skills in a fast-growing field.
Recommended Courses
School of AI Certified Cloud Practitioner (Foundational)
FREE
Master AWS Cloud basics: core concepts, services, pricing, security & exam prep for Cloud Practitioner success
Enrolled
Agentic AI: Building the Next Generation of Smart Agents
FREE
Master Agentic AI — create smart, self-directed agents powered by LLMs, memory, and orchestration frameworks.
Enrolled
Engineering Artificial General Intelligence Systems
FREE
Build cognitive architectures, multi-agent systems, and alignment frameworks for next-generation AI.
Enrolled
How to Learn Faster Online for Career Growth & Success
FREE
Build a clear learning plan, choose the right skills and use AI to accelerate career growth and results
Enrolled
AI for Leadership: Decisions, Communication & Teams
FREE
Use AI to make better decisions, communicate clearly, coach teams and improve leadership performance
Enrolled
Make Better Decisions Faster Using AI
FREE
Use ChatGPT and AI to analyze problems, avoid bias & make confident business decisions in real situations
Enrolled
Neural Signal Processing & Applied AI
FREE
Learn to analyze neural signals using machine learning and deep learning techniques
Enrolled
Applied Prompt Engineering for AI Systems
FREE
A practical guide to building, testing, and scaling reliable prompts in real-world AI systems
Enrolled
Claude Code Power User: Architecting AI-Native Dev Workflows
FREE
Master CLAUDEmd, Skills, Planning Mode, and Automation to Turn Claude Code into Your Project Co-Pilot
EnrolledPrevious Courses
Deep Learning Specialization: Advanced AI, Hands on Lab
FREE
Master advanced AI with Deep Learning, Transformers, GANs, RL & real-world deployment skills
Enrolled
Data Engineer Foundations: Build Modern Data Systems
FREE
Master data pipelines, cloud platforms, and orchestration with hands-on labs & a career-focused curriculum.
Enrolled
NCA-GENL: SoAI-Certified Generative AI LLMs Specialization
FREE
Complete Guide to Passing NCA-GENL Exam: Generative AI, LLMs, Prompting, and Model Deployment - School of AI
Enrolled
[NL] Full-Stack AI met Ollama: Llama, Deepseek, Mistral, QwQ
FREE
Bouw AI-apps met open-source modellen: NLP, chatbots, code, samenvattingen, automatisering en meer.
Enrolled
Certified Infra AI Expert: End-to-End GPU-Accelerated AI
FREE
Master GPUs, Omniverse, Digital Twins, AI Containers, Triton Inference, DeepStream, and ModelOps
Enrolled
Mastering DeepScaleR: Build & Deploy AI Models with Ollama
FREE
Build AI Chatbots, Deploy Local AI Models, and Create AI-Powered Apps Without Cloud APIs using DeepScaleR-1.5B AI Model
Enrolled
Algorithm Alchemy: Unlocking the Secrets of Machine Learning
FREE
Master Key Machine Learning Algorithms: From Basics to Real-World Applications(AI)
Enrolled
Mastering Agentic Design Patterns with Hands-on Projects
FREE
Build Smarter Systems with Intelligent Agents - Hands-on AutoGen | IBM Bee | LangGraph | CrewAI | AutoGPT(AI)
Enrolled
Mastering PyTorch - 100 Days: 100 Projects Bootcamp Training
FREE
From Basics to Advanced Deep Learning Training(AI)
Enrolled