New Complete AI/ML Batch | AI Engineering & Data Science | Prime 2.0 Batch

Summary

Prime 2.0 is a comprehensive AI & ML upskilling program designed for both beginners and experienced individuals. Offering a flexible weekend schedule, the course covers essential tools like Python, SQL, and machine learning frameworks, preparing participants for roles as AI Engineers and Data Scientists. The program focuses on hands-on projects, real-world applications, and live mentorship, ensuring students build practical skills for industry demands. With no prerequisites required, the course is ideal for both professionals and college students looking to advance in AI & ML fields. Enrollment starts March 21, 2026, with an early offer available until March 11, 2026.

Takeaways

• 😀 Prime 2.0 is a structured AI/ML program designed for both beginners and experienced learners with no prerequisites required.
• 😀 The program is suitable for college students, freshers, and working professionals who want to upskill in AI/ML.
• 😀 The curriculum covers Python, SQL, machine learning libraries, deep learning, NLP, computer vision, and software engineering principles.
• 😀 Learning is hands-on with both minor and major projects to build practical skills and industry-ready portfolios.
• 😀 The program follows a weekend schedule, making it flexible for full-time students and working professionals.
• 😀 Career support includes resume building, LinkedIn guidance, portfolio optimization, mentorship sessions, and internship/job notifications.
• 😀 Emphasis is placed on commitment, consistency, and active effort from students to gain tangible results and placements.
• 😀 Students are encouraged to implement projects, follow structured learning paths, and apply AI/ML skills in real-world scenarios.
• 😀 Early bird enrollment is available until 11 March 2026, and classes start on 21 March 2026.
• 😀 The medium of instruction is Hinglish (a mix of Hindi and English), and the program is designed to make AI/ML concepts understandable for all levels.

Q & A

Who is the target audience for Prime 2.0?

Prime 2.0 is designed for both working professionals and college students. Working professionals can upskill to AI/ML roles, while students can prepare for internships and placements in AI/ML or software engineering.

Do students need prior programming experience to enroll in Prime 2.0?

No, there are no prerequisites. The course covers fundamentals from scratch, so beginners and those with prior programming experience can both benefit.

What are the main AI/ML roles that the program prepares students for?

The program primarily prepares students for roles like AI Engineer and Data Scientist, which are the most sought-after roles in the AI sector.

What is the mode of communication used during the classes?

The classes are conducted in a bilingual format, primarily English mixed with Hindi, similar to the sample session in the transcript.

How is the course schedule structured?

Prime 2.0 follows a weekend schedule, making it easier for full-time students and working professionals to attend and complete lectures while having ample time for projects.

What kind of projects will students work on?

Students will work on minor and major projects, often based on real-life datasets from industries like finance, e-commerce, healthcare, and media. These projects are designed to build practical skills and enhance resumes.

Which programming languages and tools are taught in the program?

The program teaches Python and SQL, along with libraries like NumPy, Pandas, Matplotlib, Seaborn. Students also learn frameworks such as PyTorch, Flask, version control with Git/GitHub, and containerization with Docker/Kubernetes.

What is the role of math in the Prime 2.0 curriculum?

Mathematics is taught to support AI/ML understanding, including statistics, probability, linear algebra, and calculus, which are essential for building and implementing AI models.

Does enrolling in Prime 2.0 guarantee placements or internships?

No, enrollment alone does not guarantee placements. Success depends on the student’s commitment, consistency, and effort in following the course, completing projects, and actively participating in learning.

When does the Prime 2.0 batch start, and what is the early enrollment deadline?

The batch starts on 21 March 2026. The early enrollment offer is valid until 11 March 2026, 9:00 PM.

What is emphasized as essential for students to succeed in this program?

Students must honor their commitment to learning, consistently put in hard work, actively build projects, and follow guidance on resumes and LinkedIn setup to maximize their chances of securing internships and placements.

How does the program help students in practical career preparation?

The program provides structured learning, quality resources, project-based experience, guidance for resume building, LinkedIn profile setup, and interview preparation to equip students with AI/ML skills required in the industry.