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Akshita Sharma
  • Qualification:B.Tech / B.E.
  • Language:English, Hindi
  • Experience:1 years
★★★★4/5

Akshita Sharma

Online

About :

Akshita Sharma is dedicated to helping students understand complex subjects with clarity. She offers tutoring in both English and Hindi, ensuring that language is never a barrier t…

Akshita Sharma

Akshita Sharma

Online

  • Qualification:B.Tech / B.E.
  • Language:English, Hindi
  • Experience:1 years
★★★★ 4/5

Akshita Sharma is dedicated to helping students understand complex subjects with clarity. She offers tutoring in both English and Hindi, ensuring that language is never a barrier t...

FindMyGuru is a tutor discovery platform that helps students find and connect with experienced tutors and institutes across a wide range of subjects and skills. Students can explore tutor profiles, compare expertise, and contact tutors directly for online or in-person learning.FindMyGuru facilitates discovery and connections between students and tutors or institutes. All classes and learning arrangements are handled directly between students and the respective tutors or institutes

Courses by Akshita Sharma

Course Mode:

Online

Duration:

3 Month

Language:

English, Hindi

Location:

New Delhi, DA-224, SHALIMAR BAGH EXTENSION

Pricing:

5000 INR

Batch Type:

Week Days / Weekends

What You Will Learn

This course covers the fundamentals of Artificial Intelligence (AI) through a structured approach.

Module 1: Introduction to Intelligent Agents

  • Understand the basics of autonomy, rationality, and the Turing Test.

  • Learn to design various agent architectures such as reflex, model-based, goal-based, and utility-based agents.

  • Analyze different types of environments, including accessible, deterministic, static, and dynamic.

Module 2: Classical Search Algorithms

  • Explore uninformed search techniques like Breadth-First Search (BFS) and Depth-First Search (DFS).

  • Study informed search methods, including Greedy Best-First Search and A* Search.

  • Implement adversarial search strategies for zero-sum games using Minimax and Alpha-Beta Pruning.

Module 3: Constraint Satisfaction Problems (CSPs)

  • Define variables, domains, and global constraints in CSPs.

  • Practice constraint propagation techniques such as Backtracking search and Arc Consistency (AC-3).

  • Apply CSP concepts to real-world problems like map-coloring, Sudoku, and automated scheduling.

Module 4: Knowledge Representation & Formal Logic

  • Learn propositional logic through syntax, semantics, truth tables, and inference rules.

  • Work with First-Order Logic (FOL) using quantifiers and predicates.

  • Construct knowledge structures like Ontologies, Semantic Networks, and Frame Systems.

Module 5: Expert Systems & Classical Planning

  • Utilize inference engines with Forward Chaining and Backward Chaining methods.

  • Design rule-based systems using IF-THEN rules.

  • Understand classical planning with STRIPS and Planning Domain Definition Language (PDDL).

Module 6: Probabilistic Reasoning (Handling Uncertainty)

  • Manage uncertainty using conditional probability and Bayes' Theorem.

  • Structure belief networks through Bayesian Networks.

  • Explore fuzzy logic systems to handle continuous truth values.

This course progresses from basic concepts to more advanced techniques in AI, ensuring a comprehensive understanding of the subject.

Course Mode:

Online

Duration:

3 Month

Language:

English, Hindi

Location:

New Delhi, DA-224, SHALIMAR BAGH EXTENSION

Pricing:

5000 INR

Batch Type:

Week Days / Weekends

Overall Student Ratings

4.0
★★★★

Based on 4 ratings

5 star
25%
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50%
3 star
25%
2 star
0%
1 star
0%

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Location: DA-224, SHALIMAR BAGH EXTENSION, New Delhi

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