Build a strong foundation in Generative AI with this industry-focused course. Learn Large Language Models (LLMs), prompt engineering, transformers, Retrieval-Augmented Generation (RAG), AI agents, vector databases, and modern AI frameworks through practical, hands-on projects. Gain the skills to develop intelligent AI applications, automate workflows, and build real-world generative AI solutions for today’s rapidly evolving technology landscape.
Module 1: Foundations of Artificial Intelligence
- Definition, Goals & Scope of AI
- Evolution of AI
- Branches of AI
- Narrow AI vs AGI vs Superintelligence
- AI Development Lifecycle
- AI Applications & Future Trends
Module 2: Intelligent Agents & Problem Solving
- Intelligent Agents & Environments
- Rational Agents
- PEAS Framework
- Agent Architectures
- Problem Formulation
- State Space Representation
- Tree Search vs Graph Search
- Search Complexity
Module 3: Search Algorithms & Knowledge Representation
- Breadth First Search (BFS)
- Depth First Search (DFS)
- Uniform Cost Search
- Informed Search
- A* Search Algorithm
- Propositional Logic
- First-Order Logic
- Automated Reasoning
Module 4: Knowledge-Based Systems & Decision Making
- Forward Chaining
- Backward Chaining
- Rule-Based Systems
- Knowledge Graphs
- Probability Theory
- Bayesian Reasoning
- Decision Making Under Uncertainty
- Markov Decision Processes (MDP)
Module 5: Reinforcement Learning & Neural Networks
- Reinforcement Learning Fundamentals
- RL Framework
- Exploration vs Exploitation
- Perceptron Algorithm
- Activation Functions
- Gradient Descent
- Backpropagation (Conceptual)
Module 6: Deep Learning & Transformer Models
- CNN Overview
- RNN & LSTM Overview
- Representation Learning
- Introduction to Transformers
- Foundation Models
- Self-Supervised Learning
- Transformer Architecture
Module 7: Large Language Models (LLMs)
- Introduction to LLMs
- Pretraining Objectives
- Fine-Tuning Methods
- Alignment & RLHF
- Emergent Abilities
- LLM Applications
Module 8: Generative AI
- Generative vs Discriminative Models
- GANs (Generative Adversarial Networks)
- Variational Autoencoders (VAEs)
- Diffusion Models
- Multimodal AI Models
- Real-World Generative AI Applications
Module 9: Agentic AI
- Introduction to Agentic AI
- AI Agents vs LLMs
- Tool Usage
- Planning & Memory
- Reasoning Loops
- ReAct Framework
- Chain-of-Thought (CoT)
- Tree-of-Thought (ToT)
Module 10: RAG & Vector Databases
- Agent Memory Systems
- Vector Databases
- Retrieval-Augmented Generation (RAG)
- Knowledge Retrieval
- Semantic Search
- Context Management
Module 11: Multi-Agent Systems & Autonomous AI
- Multi-Agent Collaboration
- Communication & Coordination
- Planner–Executor Architectures
- Long-Horizon Reasoning
- Autonomous AI Systems
- AI Alignment Challenges
- Evaluation of LLM Systems
- Scaling & Optimization of AI Systems
Module 12: Capstone Projects
- AI Chatbot using LLM
- RAG-Based Knowledge Assistant
- Agentic AI Workflow
- Multi-Agent AI Application
- Generative AI Project
- Final Capstone Project & Deployment
Earn Industry-Recognized Certificates
Showcase your skills, strengthen your resume, and stand out to employers with certificates that validate your learning and practical experience.
Course Completion Certificate
Showcase your learning achievement
Internship Certificate
Highlight your practical experience
TOOLS & TECHNOLOGIES
Learn the Technologies That Matter
Explore modern AI tools, frameworks and technologies used to build real-world intelligent applications.
CAREER OUTCOMES
Top Companies Hiring for These Skills
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shivani vermaTrustindex verifies that the original source of the review is Google.
i have taken the course for my extra learning and it helped me to crack my placement . teachers explained every topic very well .Posted on Google![]()
himanshu namdevTrustindex verifies that the original source of the review is Google.
I had good experience throughout the training, specially one on one mentorship was really helpfulPosted on Google![]()
Vanya SinghTrustindex verifies that the original source of the review is Google.
Learning environment was encouraging and motivating. Gained not only technical knowledge but also the courage to chase bigger career goals.Posted on Google![]()
Vishakha SharmaTrustindex verifies that the original source of the review is Google.
faculty is amazingPosted on Google![]()
shiv pratap kanhaiya singhTrustindex verifies that the original source of the review is Google.
Amezing experiencePosted on Google![]()
Teena PrajapatTrustindex verifies that the original source of the review is Google.
Nice learning environment with proper workstations. Team is supportive and place is well maintained. Had a good experience at Steatic Solutions. Professional setup and clear guidance. Recommended👍.Posted on Google![]()
Aarti SinghTrustindex verifies that the original source of the review is Google.
It was a good course have taken marketing one, really appreciate how well it was structured, because of which was easy to follow and helped in gaining clear understanding of what was being taught.
