Course Description:
This course prepares learners for the next wave of AI advancements by exploring emerging technologies, strategic planning, and advanced optimization techniques. Students will develop skills to design adaptable AI systems that leverage cutting-edge innovations for long-term impact.

Lecture 1: Emerging Technologies
Explore breakthrough technologies shaping AI’s future, including multi-modal models, edge computing, quantum-classical hybrids, blockchain coordination, and next-gen protocols.

Key Objectives:

• Multi-modal AI (text, image, voice, video)
• Edge computing for AI agents/Edge AI deployment
• Quantum-classical hybrid systems
• Blockchain for agent coordination
• Next-generation protocols

Lecture 2: Strategic Planning
Learn to create technology roadmaps, measure ROI, and manage organizational change to support AI innovation and adoption.

Key Objectives:

• Technology roadmap development
• ROI measurement frameworks
• Change management strategies

Lecture 3: Advanced Optimization Strategies
Master advanced AI optimization methods such as reinforcement learning, evolutionary algorithms, neural architecture search, and automated hyperparameter tuning.

Key Objectives:

• Reinforcement learning for agent improvement
• Evolutionary algorithms for workflow optimization
• Neural architecture search for model optimization
• Automated hyperparameter tuning