Deep Learning & Reinforcement Learning
$30 - $60 / hour
Average freelance rate for AI Engineers and RL Developers (Upwork, 2025)
200,000+
Active global job openings for Deep Learning and Reinforcement Learning experts (LinkedIn, 2025)
COURSE DESCRIPTION
The Deep Learning & Reinforcement Learning course introduces students to the core concepts of neural networks, deep learning architectures, and intelligent decision-making systems. You will learn to design and train deep neural networks, apply reinforcement learning algorithms, and build AI models that learn through interaction and feedback. By combining theory and practice, this course bridges the gap between deep learning fundamentals and modern applications such as robotics, game AI, autonomous systems, and real-time analytics.
WHAT YOU’LL LEARN
- Fundamentals of Deep Learning and Neural Networks
- Training and tuning deep neural architectures
- Convolutional and Recurrent Neural Networks
- Reinforcement Learning principles and algorithms
- Markov Decision Processes (MDP) and reward optimization
- Policy Gradient and Q-Learning methods
- Deep Q-Networks (DQN) and actor-critic models
- Building AI agents that learn through interaction
Key Skills You Will Acquire
Learner Testimonials
Hassan Tariq
AI Engineer @ RoboLabs
The Deep Learning & RL course at RTI helped me understand how to make AI agents learn by themselves. My final project, a self-balancing robot simulation, became my hiring portfolio piece.
Saira Malik
ML Engineer and Research Intern @ TechNova AI
The combination of theory and practice made this course exceptional. The instructor feedback and real-world simulations helped me secure my first AI internship.
Frequently Asked Questions
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