What You'll Learn
Six core competency areas — from classical AI foundations to autonomous agent systems
AI Foundations & Intelligent Agents
The evolution of AI, rational agents, the PEAS framework, and how agents perceive and act in an environment.
FoundationSearch & Knowledge Representation
BFS, DFS, A* search, propositional & first-order logic, and the inference systems that power reasoning.
Core SkillReasoning, Decision Making & RL
Bayesian reasoning, utility theory, and the reinforcement learning framework behind intelligent decisions.
In-DemandDeep Learning & Transformers
Neural networks, CNNs, RNNs, and the transformer architecture that underlies every modern LLM.
Applied EngineeringGenerative AI & LLMs
Foundation models, pretraining & fine-tuning, RLHF, GANs, VAEs, diffusion models, and multimodal AI.
Cutting EdgeAgentic AI & Multi-Agent Systems
ReAct, chain-of-thought, agent memory, RAG with vector databases, and multi-agent collaboration.
Production ReadyBuilt to Get You Hired in Generative & Agentic AI
A program that pairs classical AI theory with the generative and agentic systems shaping the industry today — so you graduate with both a portfolio and a certificate.
This Gen AI program covers artificial intelligence from foundational concepts to generative and agentic systems. You'll start with the evolution of AI, intelligent agents, search algorithms, and knowledge representation, then move into reasoning under uncertainty, reinforcement learning, and neural networks.
From there, you'll go deep into transformers, large language models, GANs, VAEs, and diffusion models — closing with agentic AI: tool usage, planning, memory, RAG, and multi-agent collaboration. Every mentor has worked with real generative and agentic AI systems, and the course ends with a performance-based LOR, dual certification, and direct placement referrals.
Course Benefits
Course Curriculum
Four stages, twenty modules, one pipeline from classical AI to autonomous agents — click any module to expand
- Goals & scope of AI
- Symbolic to agentic evolution
- Narrow AI vs AGI
- Rational agents & utility
- Types of environments
- PEAS framework
- Problem formulation
- State space representation
- Tree vs graph search
- BFS, DFS & uniform cost
- Informed search
- A* algorithm
- Propositional & first-order logic
- Inference systems
- Automated reasoning
- Forward & backward chaining
- Rule-based systems
- Knowledge graphs
- Probability theory in AI
- Bayesian reasoning
- Conditional independence
- Utility theory
- Decisions under uncertainty
- Markov decision processes
- RL framework
- Exploration vs exploitation
- Real-world applications
- Perceptron & activation functions
- Backpropagation concepts
- Gradient descent
- CNN & RNN/LSTM overview
- Representation learning
- Intro to transformers
- Generative vs discriminative
- Foundation models
- Self-supervised learning
- Pretraining objectives
- Fine-tuning methods
- Alignment & RLHF
- Emergent abilities
- Fine-tuning at scale
- Evaluation approaches
- GANs & VAEs
- Diffusion models
- Multimodal models
- AI agents vs LLMs
- Tool usage & reasoning loops
- Planning & memory
- ReAct framework
- Chain-of-thought reasoning
- Tree-of-thought reasoning
- Agent memory systems
- Vector databases
- Retrieval-Augmented Generation
- Multi-agent collaboration
- Communication & coordination
- Planner–executor architectures
- Alignment challenges
- Scaling & evaluation
Capstone Agent System · Dual Certification · Placement Ready
Every stage feeds into a portfolio-ready Gen AI engineer — backed by hands-on LLM and agentic AI projects.
Your Dual Certificates
Two industry-recognized credentials awarded on successful completion
Why Choose This Course
Everything you need to go from curious learner to confident Gen AI engineer
Industry-Aligned Curriculum
A structured path from AI foundations to generative models, LLMs, and agentic systems.
Hands-On Projects
Build agent workflows, apply LLMs, and design RAG-powered AI solutions end to end.
Dual Certification
Course Completion + Internship Certificate — two industry-recognized credentials in one program.
Performance-Based LOR
A star-rated, personalized Letter of Recommendation based on what you actually built and achieved.
1:1 Mentor Support
Direct access to mentors for doubt clearing, project reviews, and career guidance whenever you need it.
Placement Referrals
Direct referrals to our hiring partner network across generative and agentic AI roles.
Requirements
- Basic programming or technical aptitude; interest in AI and automation
- No prior AI experience required — beginners welcome
- A computer with internet connection
- Willingness to learn AI concepts, models, and agent-based systems
Material Includes
- 35+ hours of recorded video lectures
- Lifetime LMS access — revisit anytime
- Section quizzes, assessments & assignments
- Industry-based hands-on projects
- Course Completion Certificate
- Internship Experience Certificate
Simple, Transparent Pricing
Pick the learning style that suits you best — both include dual certification and placement support