Certification

LRQA serves multiple industries, including aerospace, food and beverage, manufacturing, construction, and renewable energy, offering services tailored to the specific compliance and operational needs of each sector.

Yes, LRQA offers a range of training services across various domains, including health and safety, cybersecurity, climate change, and manufacturing standards. These can be accessed through virtual classrooms or blended learning formats.

LRQA offers comprehensive sustainability services, including carbon footprint verification, GHG inventory, and sector-specific carbon standards, helping organizations achieve carbon neutrality and comply with regulatory emissions schemes.

Yes, LRQA provides certifications recognized globally, aligned with international standards such as ISO, and industry-specific frameworks for food safety, energy, and manufacturing.

One need not have any major knowledge in Data Science. Proficiency in Python, Machine Learning, Deep Learning, and NLP is essential for this course

Roles available after doing the Innomatics Data Science course are:

• Data Scientist

• Data Analyst

• Data Engineer

• Business Intelligence Developer

• Enterprise Architect

• Industry Architect

• Applications Architect

• Data Architect

Graduates can expect strong career prospects, as the demand for Full Stack Developers is rapidly increasing. With an anticipated 27.7 million new developers by 2024, students can find opportunities across various industries, often with competitive salaries and growth potential.

In India, the average salary for a Full Stack Developer is around ?9.24 LPA. However, this can vary based on experience, job location, company size, and other relevant considerations.

Here are some key roles in Data Science:

• GenAI Engineer
• AI Application Developer
• Prompt Engineer
• NLP Engineer
• Machine Learning Engineer
• AI Research Scientist
• Deep Learning Engineer
• Computer Vision Engineer

The course focuses on advanced models like Variational Autoencoders, Transformers, and Large Language Models. It provides insights into foundational algorithms, design principles, and real-world applications, enabling participants to generate text, images, and other media forms effectively.

While there are no strict prerequisites, a basic understanding of programming, particularly in Python, is beneficial. Familiarity with statistics and mathematics will help students grasp the concepts more effectively. The course accommodates various backgrounds, guiding learners from foundational to advanced topics.