Capacity-building / devOps-certification-online-training-course
DevOps Certification Online Training Course
Sambodhi Research and Communications anticipates this dynamic opportunity, which is why it brings to you DevOps Certification Training Course, an instructor-led, live, virtual training that will help you acquire DevOps training online, and master various aspects expected from the role.
In this DevOps foundation certification course, you will master various aspects of software development, operations, continuous integration, continuous delivery, automated build, testing and deployment. Furthermore, you will gain insights into automation of configuration management, inter-team collaboration and IT service agility using DevOps tools such as Git, Puppet, Jenkins, SVN, Maven, Docker, Ansible, Nagios, and more.
New batch starting on April 22, 2023
Weekend Batch, 10.00 am – 1.30 pm IST
Reach out to us at: +91 93112 91788
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Course Details
As the eight-year countdown to achieving the 2030 SDGs begins, there has been a strong impetus toward improving developmental outcomes and strengthening Monitoring, Evaluation, and Learning (MEL) systems at organizational and national levels. Despite the depth of MEL expertise and extent of practice within the Global South, there have been very few practitioner-driven, knowledge exchange spaces which can facilitate perspective building and enhance the knowledge and skills of early and mid-career development professionals located in the global south. With this in mind, Sambodhi is offering an online certificate course: Monitoring, Evaluation, and Learning for Development Professionals (MEL4DP).
- Provide conceptual clarity on MEL through a practitioner’s lens.
- Equip participants with the knowledge and practical skills to plan, conduct, and manage effective M&E of programs to facilitate continuous learning and program improvement.
- Contextualize the application of existing MEL frameworks and approaches by drawing from case studies and examples from the global south.
- Build critical perspectives on various aspects of MEL practice and theory,
- Foster cross-sectoral and cross-disciplinary dialogues by using examples from different sectors and theories that have emerged from different disciplines.
- Create a space for peer-learning, collective thinking, and networking for early-career development professionals.
- Practitioners’ lens: developed and facilitated by MEL practitioners & experts, for practitioners.
- Multi-sectoral perspective: uses case studies & real-world examples from different sectors
- Real-world examples: application-based interactive learning through classroom activities
- Context specific: builds critical perspective for the global south
- Merit-cum-means scholarship: scholarships and discounts offer available
- Mixed method approach: uses hands on tools and approaches from quantitative and qualitative perspective.
- Weekend learning for working professionals: tailored for early career professionals with weekend classes
- Differentiate between Monitoring, Evaluation, and Learning, and gain a nuanced understanding of MEL vocabulary, contextualize MEL in Program Cycles, and define pathways of change using Theory of Change approaches,
- Gain an understanding of different monitoring typologies, use publicly available datasets for monitoring, and construct interactive monitoring dashboards,
- Define and utilize different evaluation approaches, frameworks, and designs and Keep pace with contemporary trends in evaluations,
- Practically implement an evaluation by developing an understanding of Evaluation Cycles, Implementation, Designs, Methods, and Tools, and
- Harvest learnings from evaluations, and utilize them for continuous program improvement.
| Phase 1 | 1 Week |
| Orientation to the industry landscape | 3 Weeks |
| Building blocks for the course | 1 Week |
| Data analytics and visualization using MS Excel and Tableau | 1 Week |
| Introduction to Cloud Computing, SQL for Data Science | 1 Week |
| Phase 2 | 3 Weeks |
| Business Problem Solving: Predictive Modeling using Python. | 2 Weeks |
| Machine Learning using Python (Supervised and Forecasting Methods) | 4 Weeks |
| Unsupervised learning using Python and MLOs (Clustering, PCA, and Recommendation System) | 3 Weeks |
| Phase 3 | 1 Week |
| Text Mining and NLP using Python. | 1 week |
| Value Proposition of Analytics in distinct functions (Marketing, Risk Management, and Operations) | 3 Weeks |
| AI & Deep Learning using Python- Computer Vision, Text Mining: Elective | 2 Weeks |
| Phase 4 | 3 Weeks |
| Industry Capstone Project Work- Dissertation- Final VIVA | 4 Weeks |
| Problem-solving (frameworks, approaches) | 2 Weeks |
| Placement Preparation and Mock Interviews | 3 Weeks |
Course Fee
INR 65000 + GST
New batch starting on April 22, 2023
Weekend Batch, 10.00 am – 1.30 pm IST
Total Seats: 50
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Structure yourn learning and get a certificate to prove it.
Certificate Course:
Upon completion of course modules and capstone, students will be awarded a course completion certificate
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