How to make yourself AI future ready? As as per plans of TCS and Tech Mahindra

Graduate freshers should prepare as per future plans of TCS and Tech Mahindra .

Skills to Develop :

1. AI & Data Foundations

   • Strong understanding of Python.
   • Fundamentals of Machine Learning (supervised, unsupervised, model evaluation).
   • Basics of Deep Learning (Neural networks, embeddings, transformers).
   • Understanding Large Language Models (LLMs): what they can/cannot do.

2. Data Handling & Engineering

   • SQL and relational database concepts.
   • Data cleaning, processing, visualization (Pandas, NumPy, Matplotlib).
   • Basics of MLOps (model deployment, versioning, APIs).

3. Cloud & DevOps Exposure

   • Familiarity with at least one cloud platform (AWS / Azure / GCP).
   • Containerization (Docker), CI/CD fundamentals.
   • APIs and microservices basics.

4. Human + AI Collaboration Skills

   • Prompt Engineering: writing instructions for models, refining outputs.
   • Ability to translate business needs into AI tasks (AI Translator role).
   • Understanding ethical AI guidelines, privacy, governance, bias detection.

5. Domain Layer + Context Understanding

   • Knowledge of at least one domain: healthcare, BFSI, retail, manufacturing, telecom.
   • Ability to evaluate where AI adds value (problem framing).

6. Communication & Analytical Judgment

   • Clear articulation of problem statements, model limitations, risk boundaries.
   • Ability to present analyses and insights to non-technical stakeholders.

---

How to Develop These Skills :

1. Structured Learning Path (6–12 months)

   • Complete one AI + Data Fundamentals certification (Coursera/Andrew Ng, Google Data Analytics, IBM AI Analyst).
   • Parallel cloud basics (AWS or Azure Associate course).

2. Hands-On Practice

   • Do 3–5 end-to-end projects: data collection → model → evaluation → deployment.
   • Deploy at least one model via Streamlit / Flask + Docker to cloud.
   • Build a GitHub portfolio demonstrating real work.

3. Real-World Context Building

   • Internships, hackathons, Kaggle competitions.
   • Join open-source AI communities (Hugging Face, LangChain, Lightning).

4. Workflows With LLMs

   • Use ChatGPT/Claude/Open-Source models for coding, debugging, data cleaning, documentation.
   • Practice converting business problems → prompts → structured outputs.

---

Freshers Become Ready When They Can:

• Understand how AI fits into business outcomes.
• Work alongside tools instead of relying on repetitive manual tasks.
• Demonstrate problem-solving, not only tool usage.

This is the shift from “generalist coder” → “AI-augmented problem solver.”

=========

With ref to a news article in a leading magazine.

 TCS is positioning itself as an AI-led technology services company under the banner tcsAI, with most of its strategic investment pillars centered on integrating AI across services. The broader Indian IT sector is shifting from mass hiring of generalists to precision hiring for specialized, AI-related roles, as automation reduces routine work. In place of traditional entry-level jobs, hybrid roles are emerging—such as AI translators, prompt engineers, data governance leads, and algorithm auditors—where human judgment and contextual understanding complement machine intelligence. Companies like Tech Mahindra are increasing hiring for AI-native roles (LLM engineers, MLOps, data scientists) and upskilling existing staff, emphasizing ethical, domain-linked, and human-augmented AI practices.

Ref news https://www.forbesindia.com/article/ai-tracker/ai-is-changing-the-rules-of-recruitment/2988498/1