• Eligibility Screening: Candidates submit their application by filling up the internship request form
• Selection Process: Candidates submit their application by filling up the internship request form
  • Attend Internship Counselling
  • Appear for Eligibility Test
  • Final HR interview (focus on communication, teamwork, and career goals).

• Orientation session to familiarize interns with company policies, culture, and expectations.
• Assignment of mentors to provide guidance throughout the program.
• Tools and technology setup (software, hardware, and required credentials).
• Training sessions allocation.

• Assist in researching state-of-the-art machine learning and AI methodologies.
• Explore and evaluate new tools, technologies, and frameworks related to AI and ML.
• Develop machine learning models using libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Implement supervised, unsupervised, and reinforcement learning algorithms.
• Work on natural language processing (NLP), computer vision, or other domain-specific AI tasks

• Work on data extraction, cleaning, and preprocessing with Python and SQL
• Develop tools in Python to analyze datasets for insights.
• Prepare visualizations and dashboards using tools like Excel, and Power BI.

• Assist in designing, developing, and maintaining both frontend and backend components of web applications using frameworks like React, Angular, Node.js, or Django, Java Spring Microservices.
• Collaborate with designers to create responsive, user-friendly interfaces while ensuring compatibility across browsers and devices.
• Develop and manage server-side logic, APIs, and databases, utilizing technologies like MongoDB, or MySQ, Node, Java or Python
• Debug and troubleshoot issues across the full stack, ensuring the application is optimized for performance and scalability.
• Implement version control and collaborate with team members through tools like Git and GitHub for seamless development workflows.
• Stay updated on industry trends and participate in team meetings to share insights and contribute to project improvement.

• Training sessions on opted internship technology and tools
• Guest lectures from industry experts.
• Project based learning.

• Focused mentorship to develop hard and soft skills.
• Access to company’s learning resources (online/offline courses, libraries).

• Weekly feedback from mentors and supervisors.
• Final project submission and evaluation.
• Certificate of completion and recommendation letter from associated IT companies like inwizio.com, annovasolutions.com

• Month 1 - 2: Orientation, training, assessments.
• Month 3: Advance Skill Training, Mentor Assignment and Project Guidance.
• Month 4 - 6: Project Task and Reporting, presentations, and feedback sessions.

+91 88230 75444, +91 99939 28766 or email to us contact@codebetter.in