Computer use agents in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a simple agent that prints a greeting.

Agentic AI

class SimpleAgent:
    def __init__(self, name):
        self.name = name

    def greet(self):
        print([1])

Drag options to blanks, or click blank then click option'

A"Hello, I am " + self.name

BHello, I am agent

Cself.name

Dprint('Hello')

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to use self.name inside the method.

Trying to print a string without concatenating the name.

The greet method should print a greeting that includes the agent's name, so concatenating the string with self.name is correct.

2fill in blank

medium

Complete the code to make the agent decide an action based on input.

Agentic AI

def decide_action(input_text):
    if 'hello' in input_text.lower():
        return [1]
    else:
        return 'ignore'

Drag options to blanks, or click blank then click option'

A'responding'

Brespond

C'respond'

D'response'

Attempts:

3 left

💡 Hint

Common Mistakes

Returning a variable name without quotes.

Returning a wrong string that does not match the expected action.

The function should return the string 'respond' when 'hello' is in the input text.

3fill in blank

hard

Fix the error in the agent's learning method to update knowledge correctly.

Agentic AI

class LearningAgent:
    def __init__(self):
        self.knowledge = []

    def learn(self, data):
        self.knowledge.[1](data)

Drag options to blanks, or click blank then click option'

Aappend

Badd

Cextend

Dinsert

Attempts:

3 left

💡 Hint

Common Mistakes

Using extend which expects an iterable and causes error if data is not iterable.

Using add which is not a list method.

To add a single data item to the knowledge list, append is the correct method.

4fill in blank

hard

Fill both blanks to create a dictionary of agent names and their scores above 50.

Agentic AI

scores = {'agent1': 45, 'agent2': 75, 'agent3': 60}
high_scores = { [1]: [2] for [1], [2] in scores.items() if [2] > 50 }

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Aagent

Bscore

Cname

Dscore_value

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Not matching the variable names in the comprehension.

The dictionary comprehension uses 'name' as the key variable and 'score' as the value from scores[name].

5fill in blank

hard

Fill all three blanks to filter and transform agent data into a new dictionary.

Agentic AI

agents = {'a1': 30, 'a2': 55, 'a3': 70}
filtered_agents = { [1]: [2]*2 for [1] in agents if agents[[3]] > 50 }

Drag options to blanks, or click blank then click option'

Aagent_id

Bagents[agent_id]

Dagent

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Not multiplying the value correctly.

The comprehension uses 'agent_id' as the key, doubles the value agents[agent_id], and filters by agents[agent_id] > 50.