Machine Learning
This immersive program will take you beyond the basics into the advanced world of Machine Learning and Artificial Intelligence. You'll move from theory to hands-on experience, building real projects using the tools and techniques powering today’s most exciting technologies like natural language processing, recommender systems, computer vision, and autonomous systems.
Learn to think like an AI engineer, work with real datasets, and apply machine learning in ways that drive innovation and change the world.
🗓 Starting Date: Comming soon
Master Machine Learning and AI from theory to Real-World Impact
1Who is this program for?
This specialization is ideal for:
- Developers with programming experience who want to transition into AI.
- Engineers and data scientists looking to deepen their ML expertise.
- Tech professionals aiming to work in cutting-edge fields like autonomous vehicles or generative AI.
- Curious minds who want to turn their passion for AI into practical, hireable skills.
Whether you're looking to advance your career or enter a fast-growing field, this program gives you the tools, confidence, and portfolio to stand out 🔥
2After this program you will be able to:
- Train and deploy machine learning models with Python and TensorFlow.
- Build AI applications using computer vision and natural language processing.
- Design recommendation systems and predictive algorithms.
- Analyze big data using NumPy, Pandas, and real datasets.
- Apply for roles in AI, machine learning, or data science.
3Requirements
The Machine Learning specialization is designed for individuals who already have a solid foundation in software development.
This program is for you if:
- You have experience with programming languages like Python, C, or JavaScript.
- You’re comfortable with data structures, algorithms, and basic computer science concepts.
- You want to deepen your technical skills and transition into AI and Machine Learning roles.
If you’re new to coding, we recommend starting with our Software Development Program to build the right foundation before diving into advanced topics.
- Developers with programming experience who want to transition into AI.
Curriculum
This program covers key domains such as computer vision, natural language processing (NLP), recommender systems, and autonomous systems. You'll learn how to apply these concepts using powerful tools like Pandas, NumPy, TensorFlow, and Keras.
Throughout the program, you’ll dive deep into supervised, unsupervised, and reinforcement learning, along with the mathematical foundations behind each approach. As machine learning continues to accelerate automation and scientific discovery, you’ll gain the skills needed to become a valuable contributor to this global transformation.
Sprint 1
Mathematics
- Linear Algebra
- Calculus
- Probability
Supervised Learning
- Classification
- Regularization
- Optimization
- Error Analysis
- Convolutional Neural Networks
- Deep Convolutional
- Architectures
- Transfer Learning
- Object Detection
- Face Verification
- Neural Style Transfer
Sprint 2
Mathematics
- Advanced Probability
- Advanced Linear Algebra
Supervised Learning
- Recurrent Neural Networks
- Deep Recurrent Architectures
- Natural Language Processing
- Time Series Analysis
Unsupervised Learning
- Dimensionality Reduction
- Clustering
- Hidden Markov Models
- Neural Style Transfer
Sprint 3
Reinforcement Learning
- Multi-armed bandit
- Epsilon Greedy
- Deep Reinforcement Learning
The Pipeline
- Bias Avoidance
- Pandas
- RESTful APIs
- MapReduce
- SQL and NoSQL Databases
- Google Cloud Platform
- Hadoop
Portfolio Project
- Pitch and develop a Machine
Ready to take the next step in your tech career?
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