Generative AI & Agentic Systems
Prepare for next-generation AI roles, going beyond classical data science into production-grade Generative AI and autonomous agent systems.
4 Months
Duration
4 Phases
Structured
Certified
Industry-Recognized
Job Ready
AI-First Roles
Four Phases of Learning
A structured journey from ML foundations to production-grade AI systems
Core ML Foundations
Establish strong analytical and ML fundamentals
Key Topics
- Data analysis & feature engineering
- Supervised and unsupervised learning
- Model evaluation & performance tuning
- Data pipelines for ML systems
Hands-On
- End-to-end ML workflows
- Real datasets and problem statements
Generative AI & LLM Systems
Move from ML to modern GenAI systems
Key Topics
- Large Language Models (LLMs): architecture & capabilities
- Prompt engineering & structured prompting
- Retrieval-Augmented Generation (RAG)
- Fine-tuning vs inference-time optimization
- LLM evaluation, safety, and hallucination control
Hands-On
- Building GenAI-powered applications
- Integrating LLMs with external data sources
- Designing production-ready AI pipelines
Agents, Multi-Agents & MCP
Build autonomous and collaborative AI systems
Key Topics
- AI Agents: planning, reasoning, and tool use
- Multi-Agent Systems: coordination, memory, and workflows
- Agent orchestration patterns
- Model Context Protocols (MCP) and context management
- Agentic Payments Protocols: Visa Trusted Agent Protocol & Mastercard Agent Pay
- Human-in-the-loop AI systems
Hands-On
- Building agent-based AI workflows
- Multi-agent collaboration for complex tasks
- Tool-using agents with memory and context
- Implementing agentic commerce transactions
Capstone Project & Industry Mentorship
Convert learning into real, demonstrable systems
Key Topics
- Enterprise GenAI copilots
- Autonomous research or analytics agents
- AI-powered decision systems
- Agentic Commerce & E-commerce AI Agents
- Domain-specific LLM platforms (FinTech, Payments, Compliance, etc.)
Hands-On
- Working prototype / production-ready PoC
- Technical documentation
- Demo & evaluation
Key Outcomes for Students
Strong GenAI & ML foundations
Hands-on experience with LLMs, Agents & MCP
Real-world capstone project
Industry mentorship & certifications
Career readiness for AI roles
Certifications
Module-wise certifications issued by Piresearch Labs
Final Advanced AI Systems Certification upon capstone completion
Certifications mapped to industry AI & GenAI roles
Industry & International Exposure
Keynote talks by AI architects, GenAI practitioners & researchers
Exposure to global GenAI trends & enterprise AI use cases
Interaction with international experts
Internship & Absorption Opportunities
High-performing candidates may be considered for AI internships, research or product engineering roles, and potential absorption into Piresearch Labs or partner ecosystem.
Industry-Recognized Certificate
Upon successful completion, receive a prestigious certificate jointly issued by Piresearch Labs and our academic partners
Certificate of Completion
This is to certify that
[Participant Name]
has successfully completed the
Generative AI & Agentic Systems
Advanced Specialisation Programme
conducted by Piresearch Labs in collaboration with Montreal University
Programme Director
Piresearch Labs
Verified
Academic Partner
Montreal University
Dual Certification
Joint certificate from Piresearch Labs and academic partners
Globally Recognized
Industry-validated credentials accepted worldwide
Verifiable
Digital verification for authenticity and validity
Ready to Master AI?
Join our Advanced Specialisation Programme and become a next-generation AI professional with hands-on expertise in LLMs, Agents & MCP.