Machine Learning is essential in today’s technology-driven society. AI has revolutionized every sector, from smart recommendations in Netflix to fraud detection at banks.
Did you know that? 71% business leaders rank AI now as their highest strategic priority. You risk falling behind if you don’t ride this wave.
This is why we designed the Complete Python AI & Machine Learning Training Course for Creatik AI, which was created to be used by both absolute beginners as well as working professionals. This course will make AI and machine-learning easy, powerful, and practical, whether you are switching careers, updating your skills, chasing curiosity, or upgrading your skill.
will teach you everything, step-by-step. No prior knowledge is required.
What you’ll learn
- Python Fundamentals for AI
- Machine learning algorithms
- Projects that involve hands-on learning in both supervised and nonsupervised settings
- TensorFlow and Keras: Deep Learning with TensorFlow
- Use cases in real-world situations, such as fraud detection and segmentation of customers
- Job-ready skills and career strategies
The Foundations of Python AI
Python is the of AI, powering more than 80% of all machine learning projects. Python’s simple syntax and large community makes it an ideal starting point.
What you’ll do:
- Install Anaconda with Jupyter Notebook
- Discover variables, data types and functions
- Learn essential libraries such as Pandas , NumPy
The Core Concepts of Machine Learning
What really is Machine Learning? This is the process of teaching machines to learn by analyzing data, just like we do.
The Key Concepts
- Unsupervised learning, reinforcement, and supervision
- Cleaning up messy data and handling outliers
- Build your first model: decision trees, linear regression
- Evaluation of accuracy and improvement in predictions
The Deep Dive on Supervised Education
Discover the top machine-learning techniques in use today.
The Algorithms covered:
- Support Vector Machines, k-Nearest Neighbors
- Case study in real-life: How banks identify fraud with ML
- Avoid common mistakes like overfitting by choosing the correct algorithm
Section 4: Unsupervised Learning & Clustering
Data can sometimes speak for themselves. No labels required.
Learn About:
- K-Means Clustering and Hierarchical Clustering
- Use cases: customer segmentation, image compression
- Reduce Dimensionality with PCA
Section 5: Deep Learning & Neural Networks
Deep Learning is a new way to go beyond the traditional machine learning. Machines can now see, hear and generate content that is human-like.
Tool & Projects
- Create a neural net using TensorFlow Keras
- Hands-on project: recognize handwritten digits
- Learn how image and voice tagging works behind the scenes
By 2025, experts predict that the number of deep-learning job roles will rise by 15 percent. Are you ready?
The Career Paths and What Next?
AI isn’t just another buzzword. It’s career-powerhouse.
You can learn how to:
- Improve your Python skills, including data processing and model tuning
- Discover cloud platforms such as Amazon Web Services, Google Cloud
- Data Scientists, ML Engineers, AI analysts: all have high-paying jobs.
What is the average salary for AI positions? More than $122,000 per year
Continue Growing
- Sign up for advanced certification
- Hackathons and Kaggle challenges are real.
- Join the AI Community Globally
The AI journey begins here
The Complete Python AI Machine Learning Training Course and Program offered by Créatik AI, is more than just a training program. It’s a launchpad for the future.
This program will help you to learn AI fundamentals, whether you are a student or a working professional.
Are you ready to begin? Creatik AI offers training to help you embrace the future. Intelligently create. Smart learning is the way to go.