Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The Artificial Intelligence Search Methods For Problem Solving online course is a 12 weeks program offered by Swayam under the initiative of the Government of India. An autonomous agent should be capable of solving issues in order to behave intelligently. They should be capable of making decisions that change a given circumstance into a desired or target condition. To find the ones that work, the agent must be able to imagine the consequences of its actions. This first section of the Artificial Intelligence course covers a wide range of search strategies that agents may use to solve problems.
In the second section of the Artificial Intelligence Search Methods For Problem Solving training: Reasoning and Knowledge representation, candidates will learn how an agent may represent its domain and explain what it understands. The course provides a solid basis for artificial intelligence from which the student may develop their understanding. The third section of the Artificial Intelligence Search Methods For Problem Solving syllabus provides a somewhat different framework for problem-solving, wherein the reasoning processes and previously stated search can coexist.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 1000 | yes | IIT Madras (IITM) |
Artificial Intelligence Search Methods For Problem Solving Fees
Course | Amount in INR |
Artificial Intelligence Search Methods For Problem Solving | Free |
Certification exam fee (optional) | Rs. 1,000 |
Certification Qualifying Details
Applicants must complete the online course material as well as the quizzes. To get the Artificial Intelligence Search Methods For Problem Solving certification, candidates must additionally clear a final test administered by Swayam.
After completing the Artificial Intelligence Search Methods For Problem Solving online training from Swayam, students will learn about constraint processing, deduction as search, rule-based expert systems, problem decomposition, automated planning, game playing, finding optimal paths, population-based methods, heuristic search, state-space search, etc.
This course is intended for both undergraduate and graduate students studying computer science, although anybody who wants to learn algorithms.
To get admission to the Artificial Intelligence Search Methods For Problem Solving classes by Swayam, follow the steps mentioned below:
Step 1. To access the official Swayam course website, click on the URL below.
https://onlinecourses.nptel.ac.in/noc23_cs92/preview
Step 2. You may start the registration process by hitting the Register button.
Step 3. You may use your Facebook, Google, or Microsoft account to join up, or you can manually enter your email and password.
Step 4. To access the account details page, look for and click the 'Join' option.
Step 5. Fill in the required information to begin the course.
Introduction: History, Can Machines Think? Turing Test, Winograd Schema Challenge, Language and Thought, Wheels & Gears
Introduction: Philosophy, Mind, Reasoning, Computation, Dartmouth Conference, The Chess Saga, Epiphenomena
State Space Search: Depth First Search, Breadth-First Search, Depth First Iterative Deepening
Heuristic Search: Best First Search, Hill Climbing, Solution Space, TSP, Escaping Local Optima, Stochastic Local Search
Population-Based Methods: Genetic Algorithms, SAT, TSP, emergent Systems, Ant Colony Optimization
Finding Optimal Paths: Branch & Bound, A*, Admissibility of A*, Informed Heuristic Functions
Space Saving Versions of A*: Weighted A*, IDA*, RBFS, Monotone Condition, Sequence Alignment, DCFS, SMGS, Beam Stack Search
Automated Planning: Domain-Independent Planning, Blocks World, Forward & Backward Search, Goal Stack Planning, Plan Space Planning
Problem Decomposition: Means Ends Analysis, Algorithm Graphplan, Algorithm AO*
Rule-Based Expert Systems: Production Systems, Inference Engine, Match-Resolve-Execute, Rete Net
Deduction as Search: Logic, Soundness, Completeness, First Order Logic, Forward Chaining, Backward Chaining
The Artificial Intelligence Search Methods For Problem Solving class lectures are delivered by IIT Madras.
The Artificial Intelligence Search Methods For Problem Solving online course is offered by Swayam.
The Artificial Intelligence Search Methods For Problem Solving course consists of 3 credit points.
The Artificial Intelligence Search Methods For Problem Solving tutorials are Undergraduate levels.
The duration of the Artificial Intelligence Search Methods For Problem Solving training is 12 weeks.