Python Course in Agra by Uncodemy

Key Highlights of Uncodemy’s Python Course with Placement Support:

• Industry-Relevant Curriculum: Covers Python basics to advanced topics like machine learning and data science, tailored to current industry needs.
• Real-World Projects: Work on live projects and gain practical experience that you can showcase to potential employers.
• Job Placement Assistance: Get access to placement support, including interview preparation, resume building, and job referrals.
• Expert Mentorship: Learn from experienced trainers who provide personalized guidance and career advice.
• Continuous Learning: Access to post-course resources and community support to help you stay updated with the latest trends and technologies in Python.

Uncodemy’s Python course in Agra focuses on hands-on projects, industry-relevant skills, and job placement assistance. With expert mentorship, interview preparation, and continuous learning support, Uncodemy ensures you gain the expertise and confidence needed for a successful tech career.

Top 5 Reasons to Choose Uncodemy for Python Course:

• Industry-Relevant Curriculum: Covers everything from Python fundamentals to advanced topics like machine learning and web development.
• Experienced Trainers: Learn from professionals with years of industry experience and real-world knowledge.
• Hands-on Learning: Gain practical experience by working on live projects and coding exercises.
• Job Placement Support: Access placement assistance, interview preparation, and job referrals.
• Ongoing Support: Get personalized mentorship, career guidance, and post-course resources to stay ahead in the tech industry.

Uncodemy also goes beyond technical knowledge by offering comprehensive placement support to help students launch their careers. This includes resume building, interview preparation, and access to job opportunities with leading companies. Whether you’re looking to enhance your existing skills or start a career in tech, Uncodemy’s Python course in Agra equips you with the tools and knowledge to succeed. Our focus on both learning and career advancement ensures that every student has the best chance to thrive in the competitive tech industry.

For entry-level Python developers (with 0–2 years of experience), the average salary typically ranges between ₹3.5 Lakh to ₹6 Lakh per annum. These roles are often associated with positions like Junior Python Developer or Software Engineer, where individuals are learning and applying Python in basic development tasks, web applications, and automation.

For mid-level Python developers (with 3–5 years of experience), the salary package can range from ₹6 Lakh to ₹10 Lakh per annum. These developers are expected to handle more complex projects, contribute to data analysis, work with Python frameworks (like Django, Flask), and possibly lead small teams or work on specific modules in larger applications. Python developers with experience in machine learning, artificial intelligence, or data science can command higher salaries within this range due to the specialized skillset.

For senior Python developers (with 5+ years of experience), the salary package can reach ₹10 Lakh to ₹15 Lakh per annum or more, depending on their expertise and the company. Senior developers may take on roles such as Lead Developer, Data Scientist, or Machine Learning Engineer, where they manage larger projects, mentor junior developers, and work on cutting-edge technologies like AI, deep learning, and big data analytics.

Fees for Python Developer Course in AGRA:

Basic Python Course (Beginner Level):
Fees typically range from ₹10,000 to ₹20,000. This level covers fundamental topics such as Python syntax, basic data types, loops, conditionals, and functions, and is ideal for newcomers to programming.

Intermediate Python Course:
The fees for an intermediate-level course, which covers more complex topics such as object-oriented programming (OOP), libraries like NumPy and Pandas, and building basic web applications using Flask/Django, typically range between ₹20,000 to ₹35,000.

Course Duration:

Basic Python Course:
The duration for a basic Python course typically ranges from 4 to 6 weeks, with classes held 2-3 times a week. This allows students to gradually learn the essentials of Python programming.

Intermediate Course:
For an intermediate-level Python course, the duration is usually around 8 to 10 weeks. This may include practical assignments, coding challenges, and more hands-on projects.

Advanced Course (Data Science/ML/Web Development):
Advanced courses, especially those with a focus on data science, machine learning, or full-stack web development, generally take between 12 to 16 weeks to complete, depending on the depth of the material and the inclusion of live projects.

Scholarships for Python Courses

• Uncodemy recognizes the financial challenges that some students may face and thus offers scholarships to support deserving candidates. These scholarships are typically aimed at:
• Meritorious students who demonstrate outstanding academic performance or a strong aptitude for programming.
• Underprivileged candidates or those from economically weaker backgrounds, enabling them to access high-quality Python training.
• Early birds or group discounts, where students who enroll early or as part of a group may receive reduced fees.

Certifications from Uncodemy

Uncodemy offers industry-recognized Python certifications that validate your skills and enhance your employability. Upon successful completion of the Python course, students are awarded a certificate that showcases their proficiency in Python programming. The certification covers various aspects of Python, including:

• Core Python Skills: Basic syntax, data types, loops, functions, and object-oriented programming.
• Advanced Python Concepts: Machine learning, data science, web development using frameworks like Django and Flask.
• Project-Based Learning: Hands-on projects that demonstrate real-world applications of Python in fields such as automation, AI, and web development.

Python Developer:
As a Python developer, you’ll primarily work on creating applications, scripts, and back-end services. You will be responsible for writing clean, efficient, and scalable code for websites, software, and automation tools.

Data Scientist / Data Analyst:
Python is widely used for data analysis, machine learning, and AI. Data scientists use Python libraries like Pandas, NumPy, and Matplotlib to clean, analyze, and visualize data, while machine learning engineers use frameworks like TensorFlow, Keras, and Scikit-learn.

Machine Learning Engineer:
Python is the primary language used for building and deploying machine learning models. ML Engineers work with algorithms, statistical models, and frameworks like TensorFlow or PyTorch to create AI-driven applications.

Web Developer (with Python/Django/Flask expertise):
Web developers who specialize in Python often work with web frameworks like Django and Flask to build dynamic, database-driven websites and web applications.

Automation Engineer:
Automation engineers use Python to automate repetitive tasks, such as data scraping, system administration, or deployment processes, leveraging libraries like Selenium, BeautifulSoup, and PyAutoGUI.

Real-World Experience:
Engaging in live projects allows you to apply theoretical concepts in practical scenarios, bridging the gap between classroom learning and industry requirements. You'll tackle real challenges faced by businesses, giving you insights into the complexities of software development.

Project Diversity:
The projects cover various domains such as web development, data analysis, machine learning, and automation. This diversity helps you build a versatile skill set, making you adaptable to different roles in the tech industry.

Collaboration and Networking:
Working on projects often involves collaboration with peers, fostering teamwork and communication skills. You’ll also have the chance to network with industry professionals who may mentor you and provide guidance throughout the project.

Portfolio Development:
Completing live projects allows you to build a portfolio that showcases your skills to potential employers. Having tangible projects to demonstrate your capabilities can significantly enhance your job prospects.

Guidance from Experts:
Throughout the project, you'll receive mentorship from experienced instructors who provide feedback and support, ensuring you understand the intricacies of the work you’re doing.

By participating in live projects at Uncodemy, you not only strengthen your Python programming skills but also prepare yourself for a successful career in technology. Join us to gain practical experience and achieve your career goals!